Calculations for multiple mixers are based on a formalism that uses sideband information and LO frequencies: ( ) sb

Size: px
Start display at page:

Download "Calculations for multiple mixers are based on a formalism that uses sideband information and LO frequencies: ( ) sb"

Transcription

1 Setting frequeny parameter in the WASP databae A. Harri 24 Aug 2003 Calulation for multiple mixer are baed on a formalim that ue ideband information and LO frequenie: b b := ign f ig f LO f IF := f ig f LO and Here b = + for USB (f LO < f ig ), - for LSB (f LO > f ig ). With thi heme, LO an be removed from the alulation by etting their frequenie to zero and the orreponding b to. Uponverion an be aomodated by multiplying the LO frequeny by - and etting b to. Thi ign onvention i omewhat bakward but keep the LO frequenie poitive for the more ommon ae of downonverion. Note that CSO ue b = 0 for LSB, b = for USB. For a onrete example in the workheet, ue f ret := 230 GHz f offet := 0 GHz v oure := 0 km v offet := 0 km v radial := 20 km and the harateriti of Chip Sumner' IF onverter box: hiplo := GHz hipiftr GHz + := GHz IFtr := IFtr = GHz hipb := ign( hipiftr hiplo) hipb = All of the IF enter frequenie are larger than the WASP 6 GHz enter frequeny, o all mixer are downonverter and the LO frequenie tay poitive. o pik an index m for the onverter hannel (indie run from in thi heet), then GHz m:= 4 f LO2 := hiplo f m LO2 = GHz b := hipb b = 2 m 2 Firt the general expreion The ky frequeny take the line ret frequeny, oure veloity, variou offet, and the radial veloity between the teleope and the referene frame v oure + v offet + v radial f ky := ( f ret + f offet ) f ky = GHz Calulate the LO frequeny from f ky and the IF frequeny. b = + for USB (f LO < f ig ), - for LSB (f LO > f ig ) f IF := IFtr b := f IF = GHz

2 f LO := f ky b f IF f LO = GHz Set LO manually for further tet: ff LO := GHz LO and ideband vetor: f LO = GHz b = Work out line and image frequenie in the referene frame: f line and f image v oure + v offet f line := ( f ret + f offet ) f line = GHz f image := f line 2b f IF f image = GHz f line + f image = GHz a it hould be 2 Calulate frequeny of petrometer referene hannel in referene frame (ee Appendix). : f ref := 4.5 GHz N := length( b) N = 2 := f IFN i f in f IFN f ref_han := f in ( f ref ) N N j b + f i LOj b + f i LO = j = 2 i = f ref_han = GHz Correpondene between delta frequeny in petrometer IF and in referene frame i: N ale_ene := b i ale_ene = i = Line ome out at: f IFN f in N N N := b f i LOj b f i ky = GHz = j = i = j f in i f IFN ( f ky ) = GHz in hannel m = 4 hipiftr = GHz m WASP band i 4.25 to 7.75 GHz

3 SDFITS and WASP databae keyword onerning frequeny ale CRPIX Referene pixel, et to. CRVAL Referene value in frame frequeny: f ref_han - f radial. CDELT Inrement in frame frequeny, CWRES*ale_ene FREQRES OBSFREQ Channel paing, equal to tep ize in wiginvert Oberved frequeny in referene pixel. We don't undertand how thi differ from CRVAL, if it doe, yet. IMAGFREQ RESTFREQ RVSYS VFRAME New keyword: CWFREQ# CWRES# Correponding image frequeny at referene pixel. We don't undertand thi keyword, either, o we'll kip it for the CSO and ue our own IMREF. Line ret frequeny, f ret above (e-notebook entry) Radial veloity between oure and teleope. Thi i the um of all veloity offet inluding the radial veloity orretion. Radial veloity of teleope to frame. We uually all thi the doppler orretion. Center frequeny of lowet-frequeny petrometer hannel. Thi define frequeny of the referene hannel, hannel (note hift from zero-baed ounting here). Obtain from wiginvert. Channel-to-hannel paing in petrometer. Obtain from wiginvert, poibly with binning. LOn-# Vetor ontaining LO frequenie for mixer n and beaddr #. Length = number of mixer. Index from to 9. Default value i zero. SBn-# Vetor ontaining ideband info (+ for USB, - for LSB onverion) for mixer n and beaddr #. Length = number of mixer. Index from to 9. Default value i. IMREF Image frequeny in ret frame for referene hannel for beaddr #. Correpond to value in CRVAL, whih i probably the ame a OBSFREQ. We define our own IMREF jut to keep thing tidy ine the exat definition of IMAGEFREQ in't lear. VSOURCE VOFFSET FOFFSET Nominal oure veloity Veloity offet (e-notebook entry) Frequeny offet (e-notebook entry; may alo be important for LO etting if the PLL ha a frequeny offet)

4 Correpondene to CSO oreboard file veloity Soure veloity, v oure or VSOUR above frequeny v_offet f_offet if_frequeny lok_freq multiplier Line ret frequeny, f ret or RESTFREQ above Veloity offet, v offet above Frequeny offet, f offet above IF frequeny that orrepond to requeted veloity and frequenie, inluding offet. Thi i ued a a ontraint on the LO frequeny etting. Multiplied together thee define the firt LO frequeny, perhap with an offet for a phae-lok loop. The produt i LO-#. ideband v_type Indiate lower or upper ideband mixing, CSO ue b = 0 for LSB, b = for USB, not our onvention. Thi i SB-# one onverted with b = 2*ideband-. Referene frame type: 0 for radial, for LSR, 2 for helioentri, 3 for relativiti. To CLASS FITS Oddball that don't follow onvention CRVAL VELO-RAD VELO-LSR VELO-HEL VELO-RED DELTAV IMAGEFREQ Set to zero Veloity of referene hannel in appropriate oordinate ytem: radial, loal tandard of ret, helioentri, or redhift. Sum of veloity and veloity_offet. Frame i eleted by v_type in oreboard file. Veloity paing of hannel, igned Image frequeny orreponding to VELO-x above.

5 Appendix Funtion for omputing the frequeny in IF number N, f IFN, from an input ignal f in, and vie vera. Require at leat two LO, but the eond and ubequent LO may have frequeny = 0 and b =. 225 f LO := 8 GHz 0 tr := GHz 7 b := ign tr f LO f ky := tr f LO = GHz b = N := length( b) N = 3 N i the number of LO f IFN f in := f IFN i f in f IFN := f in i N b = i i = N N b i = j = N f LOj b i i = j N N j b + f i LOj b + f i LO = j = 2 i = fl := fl = GHz fh := f IFN ( f ky ) f in ( fl) fh = GHz f ky fh = Hz f ky v radial := ( f ret + f offet ) v oure + v offet f LO + f IF b v radial := v ( f ret + f offet ) oure + v offet f IF := f ky f LO b f ky := f LO + f IF b := v oure + v offet f LO + f IF b f ret + f offet v radial Global variable for workheet ORIGIN m e

6 Formula for CSO oreboard and WASP databae keyword The ompanion doument i John Ward and Kate Iaak' write_fit. routine for the CSO. f ret := 230 GHz f offet := 0 MHz v oure := 0000 km v offet 0 km km := v radial := 00 f LO2 := 0 GHz b := f 2 LO3 := 0 GHz b := 3 b_if_frequeny := 6 GHz b_ideband := b_multiplier := 2 b_vtype := b_veloity := v oure b_veloity 0 4 km = b_v_offet := v offet b_v_offet = 0 km b_frequeny := f ret b_frequeny = GHz b_f_offet := f offet b_f_offet = GHz b := b_ideband 2 ideband multiplier entry for firt LO in multiplier array SBn-# f ky := ( b_frequeny + b_f_offet) b_veloity + b_v_offet + v radial f LO := f ky b_if_frequeny b f LO = GHz f ky_lo := f LO + b_if_frequeny b f LO b_lok_freq := b_lok_freq = GHz b_multiplier f LO := b_lok_freq b_multiplier f LO = GHz firt LO entry in LO array LOn-# f line := ( b_frequeny + b_f_offet) ( b_veloity + b_v_offet) f image := f line 2 b_if_frequeny b f ky f ky_lo = GHz f line = GHz f LO = GHz f image = GHz = GHz f ky f ky_lo = Hz b = f ky f line = MHz v radial f ret + f offet = MHz radio definition

7 RESTFREQ := b_frequeny RESTFREQ = GHz VOFFSET := b_v_offet VOFFSET = 0 km FOFFSET := b_f_offet VSOURCE := b_veloity DELTAV FOFFSET = MHz VSOURCE = 0000 km CWRES := 0 MHz (paing between pixel from wiginvert) lat( b) CDELT := CWRES b CDELT = MHz for SDFITS i i = CDELT km DELTAV := DELTAV = for CLASS RESTFREQ + FOFFSET CRVAL frequeny of petrometer hannel on ky in oberving frame (e.g. LSR) f radial = MHz frequeny hift from doppler effet f radial VFRAME := RESTFREQ + FOFFSET km v radial = 00 km VFRAME = 00 CWFREQ := 4000 MHz (petrometer' firt hannel enter frequeny, from wiginvert) N := length( b) f in f IFN := f IFN i N N j b + f i LOj b + f i LO = j = 2 i = CRVAL := f in ( CWFREQ) f radial CRVAL = GHz f line = GHz ( RESTFREQ + FOFFSET) CRVAL VELOx := VELOx = km RESTFREQ + FOFFSET OBSFREQ := CRVAL IMREF f radial := f LO + b_if_frequeny b ( RESTFREQ + FOFFSET) IMREF := CRVAL 2 b CWFREQ f image = GHz IMAGEFREQ := IMREF IMREF = GHz ( VSOURCE + VOFFSET)

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each type of circuit will be implemented in two

More information

Inverse Kinematics 1 1/29/2018

Inverse Kinematics 1 1/29/2018 Invere Kinemati 1 Invere Kinemati 2 given the poe of the end effetor, find the joint variable that produe the end effetor poe for a -joint robot, given find 1 o R T 3 2 1,,,,, q q q q q q RPP + Spherial

More information

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK ES05 Analyi and Deign of Engineering Sytem: Lab : An Introductory Tutorial: Getting Started with SIMULINK What i SIMULINK? SIMULINK i a oftware package for modeling, imulating, and analyzing dynamic ytem.

More information

A SIMPLE IMPERATIVE LANGUAGE THE STORE FUNCTION NON-TERMINATING COMMANDS

A SIMPLE IMPERATIVE LANGUAGE THE STORE FUNCTION NON-TERMINATING COMMANDS A SIMPLE IMPERATIVE LANGUAGE Eventually we will preent the emantic of a full-blown language, with declaration, type and looping. However, there are many complication, o we will build up lowly. Our firt

More information

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each circuit will be decribed in Verilog and implemented

More information

Datum Transformations of NAV420 Reference Frames

Datum Transformations of NAV420 Reference Frames NA4CA Appliation Note Datum ranformation of NA4 Referene Frame Giri Baleri, Sr. Appliation Engineer Crobow ehnology, In. http://www.xbow.om hi appliation note explain how to onvert variou referene frame

More information

VLSI Design 9. Datapath Design

VLSI Design 9. Datapath Design VLSI Deign 9. Datapath Deign 9. Datapath Deign Lat module: Adder circuit Simple adder Fat addition Thi module omparator Shifter Multi-input Adder Multiplier omparator detector: A = 1 detector: A = 11 111

More information

Shortest Paths in Directed Graphs

Shortest Paths in Directed Graphs Shortet Path in Direted Graph Jonathan Turner January, 0 Thi note i adapted from Data Struture and Network Algorithm y Tarjan. Let G = (V, E) e a direted graph and let length e a real-valued funtion on

More information

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier a a The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each b c circuit will be decribed in Verilog

More information

Laboratory Exercise 2

Laboratory Exercise 2 Laoratory Exercie Numer and Diplay Thi i an exercie in deigning cominational circuit that can perform inary-to-decimal numer converion and inary-coded-decimal (BCD) addition. Part I We wih to diplay on

More information

MAT 155: Describing, Exploring, and Comparing Data Page 1 of NotesCh2-3.doc

MAT 155: Describing, Exploring, and Comparing Data Page 1 of NotesCh2-3.doc MAT 155: Decribing, Exploring, and Comparing Data Page 1 of 8 001-oteCh-3.doc ote for Chapter Summarizing and Graphing Data Chapter 3 Decribing, Exploring, and Comparing Data Frequency Ditribution, Graphic

More information

Lecture 14: Minimum Spanning Tree I

Lecture 14: Minimum Spanning Tree I COMPSCI 0: Deign and Analyi of Algorithm October 4, 07 Lecture 4: Minimum Spanning Tree I Lecturer: Rong Ge Scribe: Fred Zhang Overview Thi lecture we finih our dicuion of the hortet path problem and introduce

More information

Multi-Target Tracking In Clutter

Multi-Target Tracking In Clutter Multi-Target Tracking In Clutter John N. Sander-Reed, Mary Jo Duncan, W.B. Boucher, W. Michael Dimmler, Shawn O Keefe ABSTRACT A high frame rate (0 Hz), multi-target, video tracker ha been developed and

More information

Analyzing Hydra Historical Statistics Part 2

Analyzing Hydra Historical Statistics Part 2 Analyzing Hydra Hitorical Statitic Part Fabio Maimo Ottaviani EPV Technologie White paper 5 hnode HSM Hitorical Record The hnode i the hierarchical data torage management node and ha to perform all the

More information

Combined Radix-10 and Radix-16 Division Unit

Combined Radix-10 and Radix-16 Division Unit Combined adix- and adix-6 Diviion Unit Tomá ang and Alberto Nannarelli Dept. of Eletrial Engineering and Computer Siene, Univerity of California, Irvine, USA Dept. of Informati & Math. Modelling, Tehnial

More information

Bottom Up parsing. Bottom-up parsing. Steps in a shift-reduce parse. 1. s. 2. np. john. john. john. walks. walks.

Bottom Up parsing. Bottom-up parsing. Steps in a shift-reduce parse. 1. s. 2. np. john. john. john. walks. walks. Paring Technologie Outline Paring Technologie Outline Bottom Up paring Paring Technologie Paring Technologie Bottom-up paring Step in a hift-reduce pare top-down: try to grow a tree down from a category

More information

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each circuit will be decribed in VHL and implemented

More information

Course Project: Adders, Subtractors, and Multipliers a

Course Project: Adders, Subtractors, and Multipliers a In the name Allah Department of Computer Engineering 215 Spring emeter Computer Architecture Coure Intructor: Dr. Mahdi Abbai Coure Project: Adder, Subtractor, and Multiplier a a The purpoe of thi p roject

More information

View-Based Tree-Language Rewritings

View-Based Tree-Language Rewritings View-Baed Tree-Language Rewriting Lak Lakhmanan, Alex Thomo Univerity of Britih Columbia, Canada Univerity of Vitoria, Canada Importane of tree XML Semi-trutured textual format are very popular.

More information

KINEMATIC ANALYSIS OF VARIOUS ROBOT CONFIGURATIONS

KINEMATIC ANALYSIS OF VARIOUS ROBOT CONFIGURATIONS International Reearh Journal of Engineering and Tehnology (IRJET) e-in: 39-6 Volume: 4 Iue: May -7 www.irjet.net p-in: 39-7 KINEMATI ANALYI OF VARIOU ROBOT ONFIGURATION Game R. U., Davkhare A. A., Pakhale..

More information

COURSEWORK 1 FOR INF2B: FINDING THE DISTANCE OF CLOSEST PAIRS OF POINTS ISSUED: 9FEBRUARY 2017

COURSEWORK 1 FOR INF2B: FINDING THE DISTANCE OF CLOSEST PAIRS OF POINTS ISSUED: 9FEBRUARY 2017 COURSEWORK 1 FOR INF2B: FINDING THE DISTANCE OF CLOSEST PAIRS OF POINTS ISSUED: 9FEBRUARY 2017 Submiion Deadline: The ourework onit of two part (of a different nature) relating to one problem. A hown below

More information

Representations and Transformations. Objectives

Representations and Transformations. Objectives Repreentation and Tranformation Objective Derive homogeneou coordinate tranformation matrice Introduce tandard tranformation - Rotation - Tranlation - Scaling - Shear Scalar, Point, Vector Three baic element

More information

ISSN (Online), Volume 1, Special Issue 2(ICITET 15), March 2015 International Journal of Innovative Trends and Emerging Technologies

ISSN (Online), Volume 1, Special Issue 2(ICITET 15), March 2015 International Journal of Innovative Trends and Emerging Technologies International Journal of Innovative Trend and Emerging Tehnologie ROBUST SCAN TECHNIQUE FOR SECURED AES AGAINST DIFFERENTIAL CRYPTANALYSIS BASED SIDE CHANNEL ATTACK A.TAMILARASAN 1, MR.A.ANBARASAN 2 1

More information

(12) Patent Application Publication (10) Pub. No.: US 2011/ A1

(12) Patent Application Publication (10) Pub. No.: US 2011/ A1 (19) United State US 2011 0316690A1 (12) Patent Application Publication (10) Pub. No.: US 2011/0316690 A1 Siegman (43) Pub. Date: Dec. 29, 2011 (54) SYSTEMAND METHOD FOR IDENTIFYING ELECTRICAL EQUIPMENT

More information

Floating Point CORDIC Based Power Operation

Floating Point CORDIC Based Power Operation Floating Point CORDIC Baed Power Operation Kazumi Malhan, Padmaja AVL Electrical and Computer Engineering Department School of Engineering and Computer Science Oakland Univerity, Rocheter, MI e-mail: kmalhan@oakland.edu,

More information

How to. write a paper. The basics writing a solid paper Different communities/different standards Common errors

How to. write a paper. The basics writing a solid paper Different communities/different standards Common errors How to write a paper The baic writing a olid paper Different communitie/different tandard Common error Reource Raibert eay My grammar point Article on a v. the Bug in writing Clarity Goal Conciene Calling

More information

Macrohomogenous Li-Ion-Battery Modeling - Strengths and Limitations

Macrohomogenous Li-Ion-Battery Modeling - Strengths and Limitations Marohomogenou Li-Ion-Battery Modeling - Strength and Limitation Marku Lindner Chritian Wieer Adam Opel AG Sope Purpoe of the reearh: undertand and quantify impat of implifiation in marohomogeneou model

More information

Operational Semantics Class notes for a lecture given by Mooly Sagiv Tel Aviv University 24/5/2007 By Roy Ganor and Uri Juhasz

Operational Semantics Class notes for a lecture given by Mooly Sagiv Tel Aviv University 24/5/2007 By Roy Ganor and Uri Juhasz Operational emantic Page Operational emantic Cla note for a lecture given by Mooly agiv Tel Aviv Univerity 4/5/7 By Roy Ganor and Uri Juhaz Reference emantic with Application, H. Nielon and F. Nielon,

More information

Lecture Outline. Global flow analysis. Global Optimization. Global constant propagation. Liveness analysis. Local Optimization. Global Optimization

Lecture Outline. Global flow analysis. Global Optimization. Global constant propagation. Liveness analysis. Local Optimization. Global Optimization Lecture Outline Global flow analyi Global Optimization Global contant propagation Livene analyi Adapted from Lecture by Prof. Alex Aiken and George Necula (UCB) CS781(Praad) L27OP 1 CS781(Praad) L27OP

More information

KS3 Maths Assessment Objectives

KS3 Maths Assessment Objectives KS3 Math Aement Objective Tranition Stage 9 Ratio & Proportion Probabilit y & Statitic Appreciate the infinite nature of the et of integer, real and rational number Can interpret fraction and percentage

More information

Laboratory Exercise 2

Laboratory Exercise 2 Laoratory Exercie Numer and Diplay Thi i an exercie in deigning cominational circuit that can perform inary-to-decimal numer converion and inary-coded-decimal (BCD) addition. Part I We wih to diplay on

More information

Course Updates. Reminders: 1) Assignment #13 due Monday. 2) Mirrors & Lenses. 3) Review for Final: Wednesday, May 5th

Course Updates. Reminders: 1) Assignment #13 due Monday. 2) Mirrors & Lenses. 3) Review for Final: Wednesday, May 5th Coure Update http://www.phy.hawaii.edu/~varner/phys272-spr0/phyic272.html Reminder: ) Aignment #3 due Monday 2) Mirror & Lene 3) Review for Final: Wedneday, May 5th h R- R θ θ -R h Spherical Mirror Infinite

More information

1 The secretary problem

1 The secretary problem Thi i new material: if you ee error, pleae email jtyu at tanford dot edu 1 The ecretary problem We will tart by analyzing the expected runtime of an algorithm, a you will be expected to do on your homework.

More information

Computer Arithmetic Homework Solutions. 1 An adder for graphics. 2 Partitioned adder. 3 HDL implementation of a partitioned adder

Computer Arithmetic Homework Solutions. 1 An adder for graphics. 2 Partitioned adder. 3 HDL implementation of a partitioned adder Computer Arithmetic Homework 3 2016 2017 Solution 1 An adder for graphic In a normal ripple carry addition of two poitive number, the carry i the ignal for a reult exceeding the maximum. We ue thi ignal

More information

Incorporating Speculative Execution into Scheduling of Control-flow Intensive Behavioral Descriptions

Incorporating Speculative Execution into Scheduling of Control-flow Intensive Behavioral Descriptions Inorporating Speulative Exeution into Sheduling of Control-flow Intenive Behavioral Deription Ganeh Lakhminarayana, Anand Raghunathan, and Niraj K. Jha Dept. of Eletrial Engineering C&C Reearh Laboratorie

More information

Using Bayesian Networks for Cleansing Trauma Data

Using Bayesian Networks for Cleansing Trauma Data Uing Bayeian Network for Cleaning Trauma Data Prahant J. Dohi pdohi@.ui.edu Dept. of Computer Siene Univ of Illinoi, Chiago, IL 60607 Lloyd G. Greenwald lgreenwa@.drexel.edu Dept. of Computer Siene Drexel

More information

Relayer Selection Strategies in Cellular Networks with Peer-to-Peer Relaying

Relayer Selection Strategies in Cellular Networks with Peer-to-Peer Relaying Relayer Seletion Strategie in Cellular Network with Peer-to-Peer Relaying V. Sreng, H. Yanikomeroglu, and D. D. Faloner Broadband Communiation and Wirele Sytem (BCWS) Centre Dept. of Sytem and Computer

More information

Drawing Lines in 2 Dimensions

Drawing Lines in 2 Dimensions Drawing Line in 2 Dimenion Drawing a traight line (or an arc) between two end point when one i limited to dicrete pixel require a bit of thought. Conider the following line uperimpoed on a 2 dimenional

More information

The Crank-Nicholson method for a nonlinear diffusion equation

The Crank-Nicholson method for a nonlinear diffusion equation > retart; with(plot): with(linearalgebra): with(arraytool): The Crank-Nicholon method for a nonlinear diffuion equation The purpoe of thi workheet i to olve a diffuion equation involving nonlinearitie

More information

Advanced Encryption Standard and Modes of Operation

Advanced Encryption Standard and Modes of Operation Advanced Encryption Standard and Mode of Operation G. Bertoni L. Breveglieri Foundation of Cryptography - AES pp. 1 / 50 AES Advanced Encryption Standard (AES) i a ymmetric cryptographic algorithm AES

More information

CS201: Data Structures and Algorithms. Assignment 2. Version 1d

CS201: Data Structures and Algorithms. Assignment 2. Version 1d CS201: Data Structure and Algorithm Aignment 2 Introduction Verion 1d You will compare the performance of green binary earch tree veru red-black tree by reading in a corpu of text, toring the word and

More information

Shortest Paths Problem. CS 362, Lecture 20. Today s Outline. Negative Weights

Shortest Paths Problem. CS 362, Lecture 20. Today s Outline. Negative Weights Shortet Path Problem CS 6, Lecture Jared Saia Univerity of New Mexico Another intereting problem for graph i that of finding hortet path Aume we are given a weighted directed graph G = (V, E) with two

More information

SPH3UW Unit 7.1 The Ray Model of Light Page 2 of 5. The accepted value for the speed of light inside a vacuum is c m which we usually

SPH3UW Unit 7.1 The Ray Model of Light Page 2 of 5. The accepted value for the speed of light inside a vacuum is c m which we usually SPH3UW Unit 7. The Ray Model of Light Page of 5 Note Phyi Tool box Ray light trael in traight path alled ray. Index of refration (n) i the ratio of the peed of light () in a auu to the peed of light in

More information

Exercise 4: Markov Processes, Cellular Automata and Fuzzy Logic

Exercise 4: Markov Processes, Cellular Automata and Fuzzy Logic Exercie 4: Marko rocee, Cellular Automata and Fuzzy Logic Formal Method II, Fall Semeter 203 Solution Sheet Marko rocee Theoretical Exercie. (a) ( point) 0.2 0.7 0.3 tanding 0.25 lying 0.5 0.4 0.2 0.05

More information

See chapter 8 in the textbook. Dr Muhammad Al Salamah, Industrial Engineering, KFUPM

See chapter 8 in the textbook. Dr Muhammad Al Salamah, Industrial Engineering, KFUPM Goal programming Objective of the topic: Indentify indutrial baed ituation where two or more objective function are required. Write a multi objective function model dla a goal LP Ue weighting um and preemptive

More information

Today s Outline. CS 561, Lecture 23. Negative Weights. Shortest Paths Problem. The presence of a negative cycle might mean that there is

Today s Outline. CS 561, Lecture 23. Negative Weights. Shortest Paths Problem. The presence of a negative cycle might mean that there is Today Outline CS 56, Lecture Jared Saia Univerity of New Mexico The path that can be trodden i not the enduring and unchanging Path. The name that can be named i not the enduring and unchanging Name. -

More information

We P9 16 Eigenray Tracing in 3D Heterogeneous Media

We P9 16 Eigenray Tracing in 3D Heterogeneous Media We P9 Eigenray Traing in 3D Heterogeneous Media Z. Koren* (Emerson), I. Ravve (Emerson) Summary Conventional two-point ray traing in a general 3D heterogeneous medium is normally performed by a shooting

More information

Q1:Choose the correct answer:

Q1:Choose the correct answer: Q:Chooe the orret anwer:. Purpoe of an OS i a. Create abtration b. Multiple proee ompete for ue of proeor. Coordination. Sheduler deide a. whih proee get to ue the proeor b. when proee get to ue the proeor.

More information

A New Approach to Pipeline FFT Processor

A New Approach to Pipeline FFT Processor A ew Approach to Pipeline FFT Proceor Shouheng He and Mat Torkelon Department of Applied Electronic, Lund Univerity S- Lund, SWEDE email: he@tde.lth.e; torkel@tde.lth.e Abtract A new VLSI architecture

More information

AN ALGORITHM FOR RESTRICTED NORMAL FORM TO SOLVE DUAL TYPE NON-CANONICAL LINEAR FRACTIONAL PROGRAMMING PROBLEM

AN ALGORITHM FOR RESTRICTED NORMAL FORM TO SOLVE DUAL TYPE NON-CANONICAL LINEAR FRACTIONAL PROGRAMMING PROBLEM RAC Univerity Journal, Vol IV, No, 7, pp 87-9 AN ALGORITHM FOR RESTRICTED NORMAL FORM TO SOLVE DUAL TYPE NON-CANONICAL LINEAR FRACTIONAL PROGRAMMING PROLEM Mozzem Hoain Department of Mathematic Ghior Govt

More information

ETSI TS V ( )

ETSI TS V ( ) TS 122 153 V14.4.0 (2017-05) TECHNICAL SPECIFICATION Digital cellular telecommunication ytem (Phae 2+) (GSM); Univeral Mobile Telecommunication Sytem (UMTS); LTE; Multimedia priority ervice (3GPP TS 22.153

More information

Generic Traverse. CS 362, Lecture 19. DFS and BFS. Today s Outline

Generic Traverse. CS 362, Lecture 19. DFS and BFS. Today s Outline Generic Travere CS 62, Lecture 9 Jared Saia Univerity of New Mexico Travere(){ put (nil,) in bag; while (the bag i not empty){ take ome edge (p,v) from the bag if (v i unmarked) mark v; parent(v) = p;

More information

1Introduction CHAPTER ONE IN THIS CHAPTER. APEX Drive Description and Block Diagram. ➀ Introduction 1

1Introduction CHAPTER ONE IN THIS CHAPTER. APEX Drive Description and Block Diagram. ➀ Introduction 1 CHAPTER ONE Introduction IN THIS CHAPTER Introduction APE Drive Decription and Block Diagram ➀ Introduction INTRODUCTION Thi uer guide decribe three product. APE0 Servo Drive 6A peak, 8A continuou; phae

More information

Announcements. CSE332: Data Abstractions Lecture 19: Parallel Prefix and Sorting. The prefix-sum problem. Outline. Parallel prefix-sum

Announcements. CSE332: Data Abstractions Lecture 19: Parallel Prefix and Sorting. The prefix-sum problem. Outline. Parallel prefix-sum Announcement Homework 6 due Friday Feb 25 th at the BEGINNING o lecture CSE332: Data Abtraction Lecture 19: Parallel Preix and Sorting Project 3 the lat programming project! Verion 1 & 2 - Tue March 1,

More information

A note on degenerate and spectrally degenerate graphs

A note on degenerate and spectrally degenerate graphs A note on degenerate and pectrally degenerate graph Noga Alon Abtract A graph G i called pectrally d-degenerate if the larget eigenvalue of each ubgraph of it with maximum degree D i at mot dd. We prove

More information

Lens Conventions From Jenkins & White: Fundamentals of Optics, pg 50 Incident rays travel left to right Object distance s + if left to vertex, - if

Lens Conventions From Jenkins & White: Fundamentals of Optics, pg 50 Incident rays travel left to right Object distance s + if left to vertex, - if Len Convention From Jenkin & White: Fundamental o Optic, pg 50 Incident ray travel let to right Object ditance + i let to vertex, - i right to vertex Image ditance ' + i right to vertex, - i let to vertex

More information

Reflection & Refraction

Reflection & Refraction Name: Anwer Key Date: Regent Phyic Tet # 14 Review Reflection & Refraction 1. Ue GUESS method and indicate all vector direction.. Term to know: electromagnetic pectrum, diffue reflection, regular reflection,

More information

Topics. Lecture 37: Global Optimization. Issues. A Simple Example: Copy Propagation X := 3 B > 0 Y := 0 X := 4 Y := Z + W A := 2 * 3X

Topics. Lecture 37: Global Optimization. Issues. A Simple Example: Copy Propagation X := 3 B > 0 Y := 0 X := 4 Y := Z + W A := 2 * 3X Lecture 37: Global Optimization [Adapted from note by R. Bodik and G. Necula] Topic Global optimization refer to program optimization that encompa multiple baic block in a function. (I have ued the term

More information

Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization

Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization 5 th utralaian Congre on pplied Mehani, CM 2007 10-12 Deember 2007, Bribane, utralia Kinemati deign of a double wihbone tpe front upenion mehanim uing multi-objetive optimiation J. S. wang 1, S. R. Kim

More information

The norm Package. November 15, Title Analysis of multivariate normal datasets with missing values

The norm Package. November 15, Title Analysis of multivariate normal datasets with missing values The norm Package November 15, 2003 Verion 1.0-9 Date 2002/05/06 Title Analyi of multivariate normal dataet with miing value Author Ported to R by Alvaro A. Novo . Original by Joeph

More information

And, the (low-pass) Butterworth filter of order m is given in the frequency domain by

And, the (low-pass) Butterworth filter of order m is given in the frequency domain by Problem Set no.3.a) The ideal low-pass filter is given in the frequeny domain by B ideal ( f ), f f; =, f > f. () And, the (low-pass) Butterworth filter of order m is given in the frequeny domain by B

More information

Part 1 A New Number Format: The Unum

Part 1 A New Number Format: The Unum Part 1 yr op A New Number Format: The Unum ht ig 1 Overview l- ia er at M or yl Ta an Fr ci You can t boil the ocean. Former Intel executive, reacting to the idea of unum. Incidentally, the pronunciation

More information

A Boyer-Moore Approach for. Two-Dimensional Matching. Jorma Tarhio. University of California. Berkeley, CA Abstract

A Boyer-Moore Approach for. Two-Dimensional Matching. Jorma Tarhio. University of California. Berkeley, CA Abstract A Boyer-Moore Approach for Two-Dimenional Matching Jorma Tarhio Computer Science Diviion Univerity of California Berkeley, CA 94720 Abtract An imple ublinear algorithm i preented for two-dimenional tring

More information

Interface Tracking in Eulerian and MMALE Calculations

Interface Tracking in Eulerian and MMALE Calculations Interface Tracking in Eulerian and MMALE Calculation Gabi Luttwak Rafael P.O.Box 2250, Haifa 31021,Irael Interface Tracking in Eulerian and MMALE Calculation 3D Volume of Fluid (VOF) baed recontruction

More information

特集 Road Border Recognition Using FIR Images and LIDAR Signal Processing

特集 Road Border Recognition Using FIR Images and LIDAR Signal Processing デンソーテクニカルレビュー Vol. 15 2010 特集 Road Border Reognition Using FIR Images and LIDAR Signal Proessing 高木聖和 バーゼル ファルディ Kiyokazu TAKAGI Basel Fardi ヘンドリック ヴァイゲル Hendrik Weigel ゲルド ヴァニーリック Gerd Wanielik This paper

More information

Lens Conventions From Jenkins & White: Fundamentals of Optics, pg 50 Incident rays travel left to right Object distance s + if left to vertex, - if

Lens Conventions From Jenkins & White: Fundamentals of Optics, pg 50 Incident rays travel left to right Object distance s + if left to vertex, - if Len Convention From Jenkin & White: Fundamental o Optic, pg 50 Incident ray travel let to right Object ditance + i let to vertex, - i right to vertex Image ditance ' + i right to vertex, - i let to vertex

More information

Supplementary Material: Geometric Calibration of Micro-Lens-Based Light-Field Cameras using Line Features

Supplementary Material: Geometric Calibration of Micro-Lens-Based Light-Field Cameras using Line Features Supplementary Material: Geometri Calibration of Miro-Lens-Based Light-Field Cameras using Line Features Yunsu Bok, Hae-Gon Jeon and In So Kweon KAIST, Korea As the supplementary material, we provide detailed

More information

Computer Graphics. Transformation

Computer Graphics. Transformation (SBE 36) Dr. Aman Eldeib Spring 2 SBE 36 i a fundamental corner tone of computer graphic and i a central to OpenGL a well a mot other graphic tem.(2d and 3D ) Given an object, tranformation i to change

More information

Karen L. Collins. Wesleyan University. Middletown, CT and. Mark Hovey MIT. Cambridge, MA Abstract

Karen L. Collins. Wesleyan University. Middletown, CT and. Mark Hovey MIT. Cambridge, MA Abstract Mot Graph are Edge-Cordial Karen L. Collin Dept. of Mathematic Weleyan Univerity Middletown, CT 6457 and Mark Hovey Dept. of Mathematic MIT Cambridge, MA 239 Abtract We extend the definition of edge-cordial

More information

Plot-to-track correlation in A-SMGCS using the target images from a Surface Movement Radar

Plot-to-track correlation in A-SMGCS using the target images from a Surface Movement Radar Plot-to-trak orrelation in A-SMGCS using the target images from a Surfae Movement Radar G. Golino Radar & ehnology Division AMS, Italy ggolino@amsjv.it Abstrat he main topi of this paper is the formulation

More information

Quadrilaterals. Learning Objectives. Pre-Activity

Quadrilaterals. Learning Objectives. Pre-Activity Section 3.4 Pre-Activity Preparation Quadrilateral Intereting geometric hape and pattern are all around u when we tart looking for them. Examine a row of fencing or the tiling deign at the wimming pool.

More information

SIMIT 7. What's New In SIMIT V7.1? Manual

SIMIT 7. What's New In SIMIT V7.1? Manual SIMIT 7 What' New In SIMIT V7.1? Manual Edition January 2013 Siemen offer imulation oftware to plan, imulate and optimize plant and machine. The imulation- and optimization-reult are only non-binding uggetion

More information

(12) Patent Application Publication (10) Pub. No.: US 2003/ A1

(12) Patent Application Publication (10) Pub. No.: US 2003/ A1 US 2003O196031A1 (19) United State (12) Patent Application Publication (10) Pub. No.: US 2003/0196031 A1 Chen (43) Pub. Date: Oct. 16, 2003 (54) STORAGE CONTROLLER WITH THE DISK Related U.S. Application

More information

Keywords Cloud Computing, Service Level Agreements (SLA), CloudSim, Monitoring & Controlling SLA Agent, JADE

Keywords Cloud Computing, Service Level Agreements (SLA), CloudSim, Monitoring & Controlling SLA Agent, JADE Volume 5, Iue 8, Augut 2015 ISSN: 2277 128X International Journal of Advanced Reearch in Computer Science and Software Engineering Reearch Paper Available online at: www.ijarce.com Verification of Agent

More information

A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS

A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS Vietnam Journal of Science and Technology 55 (5) (017) 650-657 DOI: 10.1565/55-518/55/5/906 A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS Nguyen Huu Quang *, Banh

More information

Modeling and Analysis of Slow CW Decrease for IEEE WLAN

Modeling and Analysis of Slow CW Decrease for IEEE WLAN Modeling and Analyi of Slow CW Decreae for IEEE 82. WLAN Qiang Ni, Imad Aad 2, Chadi Barakat, and Thierry Turletti Planete Group 2 Planete Group INRIA Sophia Antipoli INRIA Rhône-Alpe Sophia Antipoli,

More information

Modeling of underwater vehicle s dynamics

Modeling of underwater vehicle s dynamics Proceeding of the 11th WEA International Conference on YTEM, Agio Nikolao, Crete Iland, Greece, July 23-25, 2007 44 Modeling of underwater vehicle dynamic ANDRZEJ ZAK Department of Radiolocation and Hydrolocation

More information

c s ha2 c s Half Adder Figure 2: Full Adder Block Diagram

c s ha2 c s Half Adder Figure 2: Full Adder Block Diagram Adder Tk: Implement 2-it dder uing 1-it full dder nd 1-it hlf dder omponent (Figure 1) tht re onneted together in top-level module. Derie oth omponent in VHDL. Prepre two implementtion where VHDL omponent

More information

(12) United States Patent

(12) United States Patent (12) United State Patent USOO9423281B2 (10) Patent No.: US 9.423,281 B2 Agrawal et al. (45) Date of Patent: Aug. 23, 2016 (54) SELF-CALIBRATING SINGLE TRACK USPC... 702/150 ABSOLUTE ROTARY ENCODER See

More information

A NEW APPROACH IN MEASURING OF THE ROUGHNESS FOR SURFACE CONSTITUTED WITH MACHINING PROCESS BY MATERIAL REMOVAL

A NEW APPROACH IN MEASURING OF THE ROUGHNESS FOR SURFACE CONSTITUTED WITH MACHINING PROCESS BY MATERIAL REMOVAL International Journal of Mechanical and Production Engineering Reearch and Development (IJMPERD) ISSN 49-689 Vol. 3, Iue, Mar 3, 4-5 TJPRC Pvt. Ltd. A NEW APPROACH IN MEASURING OF THE ROUGHNESS FOR SURFACE

More information

Introduction to Seismology Spring 2008

Introduction to Seismology Spring 2008 MIT OpenCourseWare http://ow.mit.edu 1.510 Introdution to Seismology Spring 008 For information about iting these materials or our Terms of Use, visit: http://ow.mit.edu/terms. 1.510 Leture Notes 3.3.007

More information

Figure 1. LBP in the field of texture analysis operators.

Figure 1. LBP in the field of texture analysis operators. L MEHODOLOGY he loal inary pattern (L) texture analysis operator is defined as a gray-sale invariant texture measure, derived from a general definition of texture in a loal neighorhood. he urrent form

More information

Topics. FPGA Design EECE 277. Number Representation and Adders. Class Exercise. Laboratory Assignment #2

Topics. FPGA Design EECE 277. Number Representation and Adders. Class Exercise. Laboratory Assignment #2 FPGA Deign EECE 277 Number Repreentation and Adder Dr. William H. Robinon Februar 2, 25 Topi There are kind of people in the world, thoe that undertand binar and thoe that don't. Unknown Adminitrative

More information

Objects and Classes. The Big Picture. Classes. Objects. Some paradigms of programming:

Objects and Classes. The Big Picture. Classes. Objects. Some paradigms of programming: Object and Clae The Big Picture Some paradigm of programming: Imperative Programming ue explicit loop, conditional, variable Three paradigm of programming we cover in CS111. Functional Programming Ue function

More information

Fall 2010 EE457 Instructor: Gandhi Puvvada Date: 10/1/2010, Friday in SGM123 Name:

Fall 2010 EE457 Instructor: Gandhi Puvvada Date: 10/1/2010, Friday in SGM123 Name: Fall 2010 EE457 Intructor: Gandhi Puvvada Quiz (~ 10%) Date: 10/1/2010, Friday in SGM123 Name: Calculator and Cadence Verilog guide are allowed; Cloed-book, Cloed-note, Time: 12:00-2:15PM Total point:

More information

CSE 250B Assignment 4 Report

CSE 250B Assignment 4 Report CSE 250B Aignment 4 Report March 24, 2012 Yuncong Chen yuncong@c.ucd.edu Pengfei Chen pec008@ucd.edu Yang Liu yal060@c.ucd.edu Abtract In thi project, we implemented the recurive autoencoder (RAE) a decribed

More information

Learning Convention Propagation in BeerAdvocate Reviews from a etwork Perspective. Abstract

Learning Convention Propagation in BeerAdvocate Reviews from a etwork Perspective. Abstract CS 9 Projet Final Report: Learning Convention Propagation in BeerAdvoate Reviews from a etwork Perspetive Abstrat We look at the way onventions propagate between reviews on the BeerAdvoate dataset, and

More information

Laboratory Exercise 1

Laboratory Exercise 1 Laboratory Eercie Switche, Light, and Multipleer The purpoe of thi eercie i to learn how to connect iple input and output device to an FPGA chip and ipleent a circuit that ue thee device. We will ue the

More information

On - Line Path Delay Fault Testing of Omega MINs M. Bellos 1, E. Kalligeros 1, D. Nikolos 1,2 & H. T. Vergos 1,2

On - Line Path Delay Fault Testing of Omega MINs M. Bellos 1, E. Kalligeros 1, D. Nikolos 1,2 & H. T. Vergos 1,2 On - Line Path Delay Fault Testing of Omega MINs M. Bellos, E. Kalligeros, D. Nikolos,2 & H. T. Vergos,2 Dept. of Computer Engineering and Informatis 2 Computer Tehnology Institute University of Patras,

More information

Modeling the Effect of Mobile Handoffs on TCP and TFRC Throughput

Modeling the Effect of Mobile Handoffs on TCP and TFRC Throughput Modeling the Effect of Mobile Handoff on TCP and TFRC Throughput Antonio Argyriou and Vijay Madietti School of Electrical and Computer Engineering Georgia Intitute of Technology Atlanta, Georgia 3332 25,

More information

p[4] p[3] p[2] p[1] p[0]

p[4] p[3] p[2] p[1] p[0] CMSC 425 : Sring 208 Dave Mount and Roger Eastman Homework Due: Wed, Marh 28, :00m. Submit through ELMS as a df file. It an either be distilled from a tyeset doument or handwritten, sanned, and enhaned

More information

Routing Definition 4.1

Routing Definition 4.1 4 Routing So far, we have only looked at network without dealing with the iue of how to end information in them from one node to another The problem of ending information in a network i known a routing

More information

13.1 Numerical Evaluation of Integrals Over One Dimension

13.1 Numerical Evaluation of Integrals Over One Dimension 13.1 Numerial Evaluation of Integrals Over One Dimension A. Purpose This olletion of subprograms estimates the value of the integral b a f(x) dx where the integrand f(x) and the limits a and b are supplied

More information

Delaunay Triangulation: Incremental Construction

Delaunay Triangulation: Incremental Construction Chapter 6 Delaunay Triangulation: Incremental Contruction In the lat lecture, we have learned about the Lawon ip algorithm that compute a Delaunay triangulation of a given n-point et P R 2 with O(n 2 )

More information

Performance Evaluation of an Advanced Local Search Evolutionary Algorithm

Performance Evaluation of an Advanced Local Search Evolutionary Algorithm Anne Auger and Nikolau Hanen Performance Evaluation of an Advanced Local Search Evolutionary Algorithm Proceeding of the IEEE Congre on Evolutionary Computation, CEC 2005 c IEEE Performance Evaluation

More information

An Intro to LP and the Simplex Algorithm. Primal Simplex

An Intro to LP and the Simplex Algorithm. Primal Simplex An Intro to LP and the Simplex Algorithm Primal Simplex Linear programming i contrained minimization of a linear objective over a olution pace defined by linear contraint: min cx Ax b l x u A i an m n

More information

A Specification for Rijndael, the AES Algorithm

A Specification for Rijndael, the AES Algorithm A Speifiation for Rijndael, the AES Algorithm. Notation and Convention. Rijndael Input and Output The input, the output and the ipher key for Rijndael are eah it equene ontaining 28, 92 or 256 it with

More information

[N309] Feedforward Active Noise Control Systems with Online Secondary Path Modeling. Muhammad Tahir Akhtar, Masahide Abe, and Masayuki Kawamata

[N309] Feedforward Active Noise Control Systems with Online Secondary Path Modeling. Muhammad Tahir Akhtar, Masahide Abe, and Masayuki Kawamata he 32nd International Congre and Expoition on Noie Control Engineering Jeju International Convention Center, Seogwipo, Korea, Augut 25-28, 2003 [N309] Feedforward Active Noie Control Sytem with Online

More information

Automatic design of robust PID controllers based on QFT specifications

Automatic design of robust PID controllers based on QFT specifications IFAC Conferene on Advane in PID Control PID'1 Breia (Italy), Marh 8-3, 1 Automati deign of robut PID ontroller baed on QFT peifiation R. Comaòliva*, T. Eobet* J. Quevedo* * Advaned Control Sytem (SAC),

More information

CERIAS Tech Report EFFICIENT PARALLEL ALGORITHMS FOR PLANAR st-graphs. by Mikhail J. Atallah, Danny Z. Chen, and Ovidiu Daescu

CERIAS Tech Report EFFICIENT PARALLEL ALGORITHMS FOR PLANAR st-graphs. by Mikhail J. Atallah, Danny Z. Chen, and Ovidiu Daescu CERIAS Tech Report 2003-15 EFFICIENT PARALLEL ALGORITHMS FOR PLANAR t-graphs by Mikhail J. Atallah, Danny Z. Chen, and Ovidiu Daecu Center for Education and Reearch in Information Aurance and Security,

More information