1

Design and Verify

Embedded Signal Processing Systems

Using MATLAB and Simulink

Giorgia Zucchelli, Application Engineer, MathWorks

17 January 2011, Technical University Eindhoven

2

Agenda

Introduction to Model Based Design

Application example: Parametric Audio Equalizer

– TI DM6437 EVM

– Beagle Board-xM

Workflow overview

Conclusions

3

INTRODUCTION

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What is Model Based Design?

Methodology to design complex systems

– Using models and simulation

– Using tools for automation

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Why using Model Based Design?

Find errors early

Reduce costly prototypes

Increase productivity

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1. Focus on algorithmic design

2. Anticipate implementation

3. Verification test-benches

MathWorks model-based design

improves the development process

INTEGRATION

IMPLEMENTATION

TE

ST

& V

ER

IFIC

AT

ION

DESIGN

RESEARCH REQUIREMENTS

7

Improve team communication with

multi-domain executable specifications

Many trusted functions

Use the most suitable

modeling approach

INTEGRATION

IMPLEMENTATION

DESIGN

TE

ST

& V

ER

IFIC

AT

ION

RESEARCH REQUIREMENTS

Algorithms

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Achieve early verification with refined models

anticipating real impairments

Bit-true simulation

Multi-domain physical

models

INTEGRATION

IMPLEMENTATION

DESIGN

TE

ST

& V

ER

IFIC

AT

ION

RESEARCH REQUIREMENTS

Fixed-Point

Physical Models

Algorithms

Analog Digital

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Rapid prototyping with code generation:

less debugging, better design

C / C++

Synthesizable HDL

INTEGRATION

IMPLEMENTATION

DESIGN

TE

ST

& V

ER

IFIC

AT

ION

RESEARCH REQUIREMENTS

Fixed-Point

Physical Models

Algorithms

Analog Digital

FPGA ASIC

VHDL, Verilog

MCU DSP

C, C++

Processors

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One testbench fits all:

unambiguous verification of the specs

INTEGRATION

IMPLEMENTATION

DESIGN

TE

ST

& V

ER

IFIC

AT

ION

RESEARCH REQUIREMENTS

Fixed-Point

Physical Models

Algorithms

Analog Digital

System-level test

Co-simulation

“Hardware in the loop”

verification

FPGA ASIC

VHDL, Verilog

MCU DSP

C, C++

Processors

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APPLICATION EXAMPLE

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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

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TARGET #1: TI DM6437 EVM

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Target #1: TI DM6437 EVM

CAN/Serial Ethernet USB

JTAG

Processor

PCI

Video

Audio

PMU

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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

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DM6437 – Software stack

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TARGET #2: BEAGLE BOARD-XM

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Target #2: Beagle Board-xM

Audio in / out

Ethernet

HDMI out

Serial

USB

SD Card reader

JTAG Processor PMU

DVI

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Beagle Board xM - Processor

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DM3730 – Software stack

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WORKFLOW OVERVIEW

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Simulink - Host

PC-Based Audio Prototyping

INTEGRATION

IMPLEMENTATION

DESIGN

REQUIREMENTS

Fixed-Point

MCU DSP

C, C++

Processors

Algorithms

TE

ST

& V

ER

IFIC

AT

ION

Simulink / MATLAB

Data

source

Data

analysis

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Simulink - Host

Fixed-Point Modeling

INTEGRATION

IMPLEMENTATION

DESIGN

REQUIREMENTS

Fixed-Point

MCU DSP

C, C++

Processors

Algorithms

TE

ST

& V

ER

IFIC

AT

ION

Fixed-Point

Simulink / MATLAB

Data

source

Data

analysis

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Simulink - Host

Automatic C Code Generation

Embedded

C

INTEGRATION

IMPLEMENTATION

DESIGN

REQUIREMENTS

Fixed-Point

MCU DSP

C, C++

Processors

Algorithms

TE

ST

& V

ER

IFIC

AT

ION

Fixed-Point

Simulink / MATLAB

Data

analysis

Data

source

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Data

analysis

Data

source

Simulink - Host

Processor-in-the-Loop

?

Target

Embedded

C

INTEGRATION

IMPLEMENTATION

DESIGN

REQUIREMENTS

Fixed-Point

MCU DSP

C, C++

Processors

Algorithms

TE

ST

& V

ER

IFIC

AT

ION

Simulink / MATLAB

? ?

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Simulink - Host

On-Target Rapid Prototyping

?

Target

DA

C

Embedded

C AD

C

INTEGRATION

IMPLEMENTATION

DESIGN

REQUIREMENTS

Fixed-Point

MCU DSP

C, C++

Processors

Algorithms

TE

ST

& V

ER

IFIC

AT

ION

Simulink / MATLAB

Data

analysis

Data

source

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CONCLUSIONS

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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