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Using Simulink to Deploy a MATLAB Algorithm on an FPGA or ASIC

Jack Erickson, MathWorks

MATLAB® is a powerful language for manipulating large data sets, exploring mathematics, and visualizing data. But targeting a MATLAB algorithm to FPGA or ASIC hardware requires additional implementation detail and modifications to be able to process a stream of bits. Simulink® is the best environment to add this information due to: the ability to design parallel architectures, built-in notion of timing, and visualization of data types propagating through operations.

Use a popular production-proven path to take a MATLAB DSP algorithm through Simulink, Fixed-Point Designer™, and HDL Coder™ and target an FPGA or ASIC. This workflow includes verification of each step versus the golden reference in MATLAB, and uses MATLAB as a test and visualization environment.

Recorded: 17 Jan 2017

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