DIF Radix2 FFT implementation using embedded MATLAB block

version 1.0.0.1 (343 KB) by Kiran Kintali
A Simulink model implementing a DIF FFT algorithm modeled completely using embedded MATLAB blocks.

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Updated Thu, 01 Sep 2016 15:10:49 +0000

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Attached zip file contains a Simulink model implementing a high speed Radix2 Decimation in Frequency (DIF) FFT algorithm modeled using embedded MATLAB blocks.
The Simulink model contains two subsystems one with a reference FFT block from Signal processing blockset and other subsystem with the high speed DIF FFT R2 algorithm modeled using embedded MATLAB blocks.

In order to make the streaming interface identical, the behavioral model is placed between Deserialize and Serialize subsystems.

See reference paper in the attached zip file that is used when developing the DIF FFT algorithm using embedded MATLAB blocks.

embedded MATLAB block is a versatile block in Simulink to develop custom algorithms quickly within the Simulink simulation modeling infrastructure;

By using the embeddable subset of MATLAB language in embedded MATLAB block one can quickly verify the timed algorithm behavior in Simulink and then use C or HDL code generation capability to implement the design in s/w or h/w.

Cite As

Kiran Kintali (2022). DIF Radix2 FFT implementation using embedded MATLAB block (https://www.mathworks.com/matlabcentral/fileexchange/22166-dif-radix2-fft-implementation-using-embedded-matlab-block), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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