Signal Processing with MATLAB: System Simulation and Real-Time Implementation · 2 Why are we here...
Transcript of Signal Processing with MATLAB: System Simulation and Real-Time Implementation · 2 Why are we here...
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1© 2014 The MathWorks, Inc.
Signal Processing with MATLAB: System Simulation
and Real-Time Implementation
Jonas Rutström
Senior Application Engineer
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Why are we here today?
Learn more about algorithm and system design in MATLAB and Simulink
– The why, how, and what…
Hopefully get some new ideas that makes you work easier
– There is always someting new to learn…
Give you the possibility to talk with MathWorks representatives
– Share your thoughts, give us feedback – We are here for you!
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Algorithm Development
ALGORITHM
Hardware Implementation
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DEMO(Kinect)
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From MATLAB Script to Real-Time C Code
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C/C++
MATLAB1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
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1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
C/C++
MATLAB
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A closer look at the algorithm…
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delay
Sound source
delay
𝜃
ALGORITHM
d
d
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How to calculate the delay?
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Cross-correlation Interpolation
Delay
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1. Experiment with algorithm in MATLAB
Simplify:
– Get a static source
– Take a picture
– Record the stereo audio input
Understand your setup
– Distance between microphones?
– Resonable delay?
Implement according to the masterplan
– verify the result
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DEMO(MATLAB Script)
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1. Experiment with algorithm in MATLAB
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What is the next step?
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1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
C/C++
MATLAB
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How do you intend to use the algorithm?
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“Real-Time”
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Function + Test bench
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2. Customize the MATLAB code
Testability
Re-usability
C code generation
Algorithm
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2. Customize the MATLAB code
Testability
Re-usability
C code generation
AlgorithmAlgorithm
AlgorithmAlgorithm
Algorithm
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2. Customize the MATLAB code
Testability
Re-usability
C code generation
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DEMO(Algorithm + Test Bench + Code Generation)
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2. Customize the MATLAB Code
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Performance?
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tic/toc
% start timer
tic
% execute code
out = myFunction(in);
% stop timer (and store
% elapsed time)
et = toc;
profile
% turn on profiler
profile on
% execute code
out = myFunction(in);
% turn off profiler
profile off
% open html report
profile report
Where are the bottlenecks?
2. Customize the MATLAB Code
How long did it take?
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Before After
2. Architect/review/optimize MATLAB code
Let´s profile two versions of the interpolate function!
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DEMO(Profiling)
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Alternative 1 Alternative 2
2. Architect/review/optimize MATLAB code
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Alternative 1 Alternative 2
Interpolation: 5x faster Algorithm: > 2x faster
2. Architect/review/optimize MATLAB code
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Lesson learned from profiling?
– Separate initialization and setup from recurring execution
2. Architect/review/optimize MATLAB code
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Can we make it execute faster?
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1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
C/C++
MATLAB
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DEMO(MATLAB to C MEX)
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~8x faster
3. Generate C/C++ Code
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Are there other implementation options?
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System Objects
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2. Architect/review/optimize MATLAB code
init/setup
process
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2. Architect/review/optimize MATLAB code
~ 2X faster in MATLAB
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~3x faster in C
3. Generate C/C++ Code
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3. Generate C/C++ Code
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3. Generate C/C++ Code
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1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
C/C++
MATLAB
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4. Verify/Validate Generated Code
Software-in-the-Loop Verification
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DEMO(Software-in-the-Loop)
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1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
C/C++
MATLAB
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4. Optimize Generated Code
Operator level (e.g. fixed-point arithmetic)
c = a + b
*c = _sadd(a, b)
Routine level
out = matlabFcn(in)
optimFcn(*in, *out)
Solution: Code Replacement Libraries (CRL)(requires Embedded Coder)
coder.replace
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4. Optimize Generated Code
coder.ceval('cfun_name', arg1, arg2, …)
Calling legacy code
Non-algorithmic code (e.g. peripherals, profiling)
Interacting with larger C/C++ application
Verifying C/C++ using existing MATLAB testbench
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What if software is not fast enough?
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HW/SW Co-Design
= +SoftwareHardwareSystem
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HW/SW Co-DesignThe Zynq Platform - Example
FPGAARM
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HDL MATLAB
Generating HDL Code
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DEMO(MATLAB HDL Code)
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HDL
Manual Translation
Manual Verification
MATLAB
Verifying Handwritten HDL Code
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DEMO(Verification of Handwritten HDL Code)
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Algorithm Development
ALGORITHM
Hardware Implementation
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1. Experiment with algorithm in MATLAB
2. Customize the MATLAB code
3. Generate C/C++ code
4. Verify/validate generated code
5. Optimize generated code
C/C++
MATLAB
Summary | Algorithm Development
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Summary | Hardware Implementation
= +SoftwareHardwareSystem
“Integrated Workflow for both SW and HW System Design”
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