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

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.

[vcarvewood]

Usually, it is better to use Matlab to generate some golden reference output of your model, store it in txt or csv. Then create same fixed point model in HDL. Load the golden reference signals to testbench model, simulate in modelsim and compare float and fixed point implementations.

[udakasarinda]

I am working in a project, in which I use FPGA for simulation acceleration. There I need some help with hdl coding for FPGA and Nios II processer

[abderraoufberkane]

please sir i need to generate a sine wave code by NCO in simulink but i don't kno how i do it

[alisoltani]

it's better to attach your code to the videos

[Parisinghfeb]

Sir, combinational circuit ka design karna hai using micro ring resonator matlab me hai uske liye code de sakte ho kya aap??

[vcarvewood]

Not worth it. You need to connect all the registers, mul, add blocks manually, match timing, shrink to 16bit, and so on. Inconvenient. Natively in HDL we can do it much faster.