Design and Verify Embedded Signal Processing Systems Using MATLAB and Simulink
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1 Design and Verify Embedded Signal Processing Systems Using MATLAB and Simulink Giorgia Zucchelli, Application Engineer, MathWorks 17 January 2011, Technical University Eindhoven 1
2 Agenda Introduction to Model Based Design Application example: Parametric Audio Equalizer TI DM6437 EVM Beagle Board-xM Workflow overview Conclusions 2
3 INTRODUCTION 3
4 What is Model Based Design? Methodology to design complex systems Using models and simulation Using tools for automation 4
5 Why using Model Based Design? Find errors early Reduce costly prototypes Increase productivity 5
6 MathWorks model-based design improves the development process RESEARCH REQUIREMENTS DESIGN IMPLEMENTATION TEST & VERIFICATION 1. Focus on algorithmic design 2. Anticipate implementation 3. Verification test-benches INTEGRATION 6
7 Improve team communication with multi-domain executable specifications RESEARCH REQUIREMENTS DESIGN Algorithms IMPLEMENTATION TEST & VERIFICATION Many trusted functions Use the most suitable modeling approach INTEGRATION 7
8 Achieve early verification with refined models anticipating real impairments RESEARCH REQUIREMENTS DESIGN Algorithms Digital Analog Fixed-Point Physical Models IMPLEMENTATION TEST & VERIFICATION Bit-true simulation Multi-domain physical models INTEGRATION 8
9 Rapid prototyping with code generation: less debugging, better design RESEARCH REQUIREMENTS DESIGN Algorithms Digital Analog Fixed-Point Physical Models IMPLEMENTATION C, C++ VHDL, Verilog TEST & VERIFICATION C / C++ Synthesizable HDL MCU DSP Processors FPGA ASIC INTEGRATION 9
10 One testbench fits all: unambiguous verification of the specs RESEARCH REQUIREMENTS DESIGN Algorithms Digital Analog Fixed-Point Physical Models IMPLEMENTATION C, C++ VHDL, Verilog TEST & VERIFICATION System-level test Co-simulation Hardware in the loop verification MCU DSP Processors FPGA ASIC INTEGRATION 10
11 APPLICATION EXAMPLE 11
12 Demo: Parametric Audio Equalizer Digital filters used to adjust the frequency content of an audio signal Parametric response that can be run-time controlled Three band equalizer Low Band: 60 to 1500 Hz Mid Range: 1200 to 4800 Hz High Range: 4800 to 12 khz Amplitude range: -8 to +8 db 12
13 TARGET #1: TI DM6437 EVM 13
14 Target #1: TI DM6437 EVM Ethernet USB JTAG CAN/Serial Audio Video Processor PMU PCI 14
15 DM6437 EVM - Processor Highest-performance fixed-point DSP generation in the TMS320C6000 DSP platform Very-long-instruction-word (VLIW) architecture developed by Texas Instruments (TI) Some of the specs: 2.5-, 2-, 1.67, 1.51-, 1.43-ns Instruction Cycle Time 400-, 500-, 600-, 660-, 700-MHz C64x+ Clock Rate Eight 32-Bit C64x+ Instructions/Cycle 3200, 4000, 4800, 5280, 5600 MIPS 15
16 DM6437 Software stack 16
17 TARGET #2: BEAGLE BOARD-XM 17
18 Target #2: Beagle Board-xM HDMI out Audio in / out DVI SD Card reader Processor JTAG PMU Serial USB Ethernet 18
19 Beagle Board xm - Processor 19
20 DM3730 Software stack 20
21 21
22 WORKFLOW OVERVIEW 22
23 PC-Based Audio Prototyping Data source Data analysis REQUIREMENTS Simulink / MATLAB Simulink - Host DESIGN Algorithms Fixed-Point IMPLEMENTATION C, C++ TEST & VERIFICATION MCU DSP Processors INTEGRATION 23
24 Fixed-Point Modeling Data source Data analysis REQUIREMENTS Fixed-Point Simulink / MATLAB Simulink - Host DESIGN Algorithms Fixed-Point IMPLEMENTATION C, C++ TEST & VERIFICATION MCU DSP Processors INTEGRATION 24
25 Automatic C Code Generation Data source Data analysis REQUIREMENTS Fixed-Point Simulink / MATLAB Simulink - Host DESIGN Algorithms Fixed-Point IMPLEMENTATION C, C++ TEST & VERIFICATION Embedded C MCU DSP Processors INTEGRATION 25
26 Processor-in-the-Loop Data source Simulink / MATLAB Data analysis REQUIREMENTS DESIGN Simulink - Host Target Algorithms Fixed-Point IMPLEMENTATION C, C++ TEST & VERIFICATION Embedded C??? MCU DSP Processors INTEGRATION 26
27 ADC DAC On-Target Rapid Prototyping Data source Data analysis REQUIREMENTS Simulink / MATLAB Simulink - Host Target DESIGN Algorithms Fixed-Point IMPLEMENTATION C, C++ TEST & VERIFICATION Embedded C? MCU DSP Processors INTEGRATION 27
28 CONCLUSIONS 28
29 Quickly Iterate between Idea and Prototype First prototype is functionally correct with automatic C code generation Spend your time in optimizing rather than debugging the code Find errors reusing the same testbench at each design step 29
Design and Verify Embedded Signal Processing Systems Using MATLAB and Simulink
Design and Verify Embedded Signal Processing Systems Using MATLAB and Simulink Giorgia Zucchelli, Application Engineer, MathWorks 10 January 2013, Technical University Eindhoven 2013 The MathWorks, Inc.
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