Optimization and Implementation of Embedded Signal Processing Algorithms
Algorithms implemented using embedded systems are often heavily optimized and tailored for a specific target. In this session we discuss the workflow used to take an algorithm designed without constraints or target in mind and optimize it for a given hardware platform. We consider issues such as memory footprint, fixed-point conversion, execution speed, and so on. Also, components developed in MATLAB® are brought into a system-level Simulink® model, illustrating the benefits of Model-Based Design when elaborating on algorithms for embedded systems.
You will see how to:
- Generate processor-specific code to legacy or external environments
- Eliminate unnecessary initialization, termination logging, and error-handling code
- Verify code execution results using software-in-the-loop (SIL) and processor-in-the-loop (PIL) testing
Recorded: 21 Apr 2016
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