2015 The MathWorks, Inc. 1
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1 2015 The MathWorks, Inc. 1
2 What s New in Release 2015a and 2014b Young Joon Lee Principal Application Engineer 2015 The MathWorks, Inc. 2
3 Agenda New Features Graphics and Data Design Performance Design Management New Products Application Deployment/Statistics and Machine Learning Toolbox Antenna Toolbox Signal Processing and Communications Vision HDL Toolbox Simulink Test Robotics System Toolbox 3
4 Graphics and Data 4
5 Graphics & Data New Graphics System Overview New look New default colormap and line colors Anti-aliased fonts and lines Subtler grid lines Data easier to interpret Easier to customize Graphics objects now behave like other MATLAB objects Support dot-notation to access and change properties 5
6 Graphics & Data New Graphics System Features Rotatable tick labels Automatic updating of datetime tick labels New visualization functions histogram animatedline Multiple colormaps per figure Multilingual text and symbols User interfaces with tab panels 6
7 Graphics & Data Simulink New graphical controls and displays 7
8 Graphics & Data Simulink Better Simulation Data Analysis New Simulation Data Inspector View live signal data Visualize and compare simulation output including Simscape Data cursors 8
9 Graphics & Data Stateflow Watch Data 9
10 Graphics & Data MATLAB Data Types [Track 2] 11:40 빅데이터및다양한데이터처리위한 MATLAB 의인터페이스환경및새로운기능 10
11 Graphics & Data MATLAB Tables table new fundamental data type For mixed-type tabular data Holds both data and metadata Supports flexible indexing Built-in functionality (merge, sort, etc.) [Track 2] 11:40 빅데이터및다양한데이터처리위한 MATLAB 의인터페이스환경및새로운기능 11
12 Graphics & Data MATLAB Categorical Arrays categorical new fundamental data type For discrete non-numeric data Values drawn from a finite set of possible values ("categories ) More memory efficient than a cell array of strings Can be compared using logical operators Similar to numeric arrays [Track 2] 11:40 빅데이터및다양한데이터처리위한 MATLAB 의인터페이스환경및새로운기능 12
13 Design 13
14 Design Simulink Accelerate Model Building Smart Editing Cues 14
15 Design Simulink Comment Out / Through Comment a block so that the output equals the input Signal passes through the block during simulation Comment out option remains available Comment Through: (block gray, badge) (input output) Comment Out: (block gray, badge) (disconnected) Works on blocks with the same number of inputs and outputs 15
16 Design Simulink Model Templates Build models using design patterns that serve as starting points to solve common problems Use shipped templates to get started with building models or create custom templates to from a Simulink model Avoid repetitive tasks when starting out to build a new model Enforce a standard process for building models for the entire team or organization [Track 3] 11:40 모델기반설계에서의팀단위협력을위한방법 16
17 Performance 17
18 Performance Simulink Faster Consecutive Simulations Fast Restart 18
19 Performance Stateflow Start Simulation Faster Just-In-Time Compilation 19
20 Performance MATLAB Access Big Data datastore Easily specify data set Single text file or collection of text files Database (using Database Toolbox) Data stored on HDFS Preview data structure and format Select data to import using column names airdata = datastore('*.csv'); airdata.selectedvariables = {'Distance', 'ArrDelay }; data = read(airdata); Incrementally read subsets of the data [Track 2] 11:40 빅데이터및다양한데이터처리위한 MATLAB 의인터페이스환경및새로운기능 20
21 Performance MATLAB Analyze Big Data mapreduce Use the powerful MapReduce programming technique to analyze big data mapreduce uses a datastore to process data in small chunks that individually fit into memory Useful for problems with complex grouping, or when intermediate results do not fit in memory ******************************** * MAPREDUCE PROGRESS * ******************************** Map 0% Reduce 0% Map 20% Reduce 0% Map 40% Reduce 0% Map 60% Reduce 0% Map 80% Reduce 0% Map 100% Reduce 25% Map 100% Reduce 50% Map 100% Reduce 75% Map 100% Reduce 100% mapreduce on the desktop Increase compute capacity (Parallel Computing Toolbox) Analyze big database tables (Database Toolbox) Access data on HDFS to develop algorithms for use on Hadoop mapreduce on a cluster Run on cluster or Hadoop using MATLAB Distributed Computing Server Deploy applications and libraries for Hadoop using MATLAB Compiler [Track 2] 11:40 빅데이터및다양한데이터처리위한 MATLAB 의인터페이스환경및새로운기능 21
22 Performance MATLAB Big Data Capabilities Memory and Data Access 64-bit processors Memory Mapped Variables Disk Variables Databases Datastores Programming Constructs Streaming Block Processing Parallel-for loops GPU Arrays SPMD and Distributed Arrays MapReduce Platforms Desktop (Multicore, GPU) Clusters Cloud Computing (MDCS on EC2) Hadoop [Track 2] 11:40 빅데이터및다양한데이터처리위한 MATLAB 의인터페이스환경및새로운기능 22
23 Design Management 23
24 Design Management MATLAB and Simulink Managing Code and Models Source Control Integration Manage your code from within the MATLAB Desktop and your models from within Simulink Projects Leverage modern source control capabilities GIT and Subversion integration in Current Folder browser Use Comparison Tool to view and merge changes between revisions 24
25 Toolbox Packaging Package your toolbox as a single installer file Contains all of the code, data, apps, documentation, and examples Checks for dependent files and automatically includes them Documents required products Included folders and files automatically appear on path when installed View details and uninstall toolboxes with Manage Custom Toolboxes dialog box 25
26 Design Management Simulink Sharing Projects Share a project on GitHub via or as a MATLAB Toolbox Make your project publicly available on GitHub. Share your project via . Package your project as a MATLAB toolbox [Track 3] 11:40 모델기반설계에서의팀단위협력을위한방법 26
27 Agenda New Features Graphics and Data Design Performance Design Management New Products Application Deployment/Statistics and Machine Learning Toolbox Antenna Toolbox Signal Processing and Communications Vision HDL Toolbox Simulink Test Robotics System Toolbox 27
28 Application Deployment MATLAB MATLAB Compiler MATLAB Compiler SDK Standalone Application Excel Add-in Hadoop C/C ++ Java.NET MATLAB Production Server MATLAB Compiler for sharing MATLAB programs without integration programming MATLAB Compiler SDK provides implementation and platform flexibility for software developers MATLAB Compiler and builders repackaged as MATLAB Compiler and MATLAB Compiler SDK MATLAB Production Server provides the most efficient development path for secure and scalable web and enterprise applications [Track 2] 15:30 다양한개발및사용환경에서의 MATLAB 의강력한기능활용방법 28
29 Statistics and Machine Learning Toolbox Import and interactively explore data Specify validation schemes Perform feature selection Train SVM, knn, bagged trees and other algorithms Assess results using classification accuracy, ROC curves and Confusion Matrices Export models to the MATLAB, or generate MATLAB code to integrate models into applications. New Classification Learner app [Track 2] 13:30 머신러닝 ( 기계학습 ) 을통한 MATLAB 의데이터애널리틱솔루션 29
30 Wireless System Design: What s new in 2015? End-to-end simulation Antenna-to-Bits Simulation Smart RF Design Design verification Standard-compliant (LTE, LTE-A) RADAR systems Over-the-air testing Connectivity to SDR and RF instruments New product: Antenna Toolbox Major releases: Communications System Toolbox LTE System Toolbox Phased Array System Toolbox New Hardware Support Package Zynq Software-Defined Radio [Track 4] 13:30 무선통신시스템의 End-to-End 시스템레벨설계 [Track 4] 15:30 레이더신호의 SDR 을이용한실험및검증 30
31 Antenna Toolbox Easy design Library of 22 parameterized antenna elements Functionality for the design of linear and rectangular antenna arrays No need for full CAD design Rapid simulation setup Method of Moments field solver for port, field, and surface analysis No need to be an EM expert Seamless integration Model the antenna together with signal processing algorithms Rapid iteration of different antenna scenarios for radar and communication systems design 31
32 Signal Processing & Communications Antenna-to-Bits Simulation Antenna Toolbox Phased Array System Toolbox Communications System Toolbox 32
33 Signal Processing & Communications Phased Array Design with Simulink 7 Libraries Beamforming Detection Direction of Arrival Environment and Target STAP Transmitters and Receivers Waveforms 47 blocks Supports code generation 33
34 Signal Processing & Communications Over-the-air Testing with Radio Hardware RF Signal Generator Spectrum Analyzer Process original data bits and generate custom digital baseband waveforms in transmitter Zynq SDR USRP SDR RTL SDR Process received samples in receiver. Decode/recover original data 34
35 Signal Processing & Communications Supported SDRs & RF instruments RF Signal Generator RF Spectrum Analyzer Zynq Radio SDR Zynq Radio SDR USRP SDR USRP SDR RTL SDR Transmitter Receiver 35
36 Vision HDL Toolbox A Complete Solution for Embedded Vision Concept Development Algorithm Development Prototyping Architecture design Prototyping Chip design Frame based Pixel based Computer Vision System Toolbox HDL Coder Image Processing Toolbox Vision HDL Toolbox MATLAB Coder Fixed Pt Designer HDL Verifier MATLAB [Track 4] 14:30 HDL 타겟을위한컴퓨터비전모델링 36
37 Simulink Test 1. Test Harnesses 2. Test Sequence Block 3. Test Manager Synchronized, simulatable test environment Inputs and assessment s based on logical, tem poral conditions Author, execute, mana ge test cases Review, export, report Test Harness Main Model Component under test [Track 3] 15:30 Simulink Test 를활용한테스트관리의새로운접근방법 37
38 Robotic System Toolbox Build Robots with Low-Cost Hardware? Drivers Provided Comprehensive Algorithms Use Powerful Robots Running ROS? ROS/Gazebo Interface ROS Node Generation Comprehensive Algorithms Hardware Support Package Robotics System Toolbox [Track 5] 15:30 Robotics System Toolbox 소개 38
39 Robotic System Toolbox Key Capabilities of Robotics System Toolbox MATLAB-ROS Interface Create a ROS node inside MATLAB Design and test robotics algorithms on a robot simulator such as Gazebo Test robotics algorithms on a physical robot Import rosbag log files into MATLAB Simulink-ROS Interface Simulink I/O with ROS networks ROS node generation from Simulink models Algorithms in Robotics System Toolbox Map utilization Path planning Path following Read point clouds [Track 5] 15:30 Robotics System Toolbox 소개 39
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