Compressive Sensing and Denoising of Images using the Ramanu

Version 1.0.0 (21 MB) by kaushal sharma
Compressive Sensing and Denoising of Images using the Ramanujan Fourier Transform
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Updated 7 Jun 2023

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Introduction
The Ramanujan Sums were first proposed by Srinivasan Ramanujan in 1918, and have become exceedingly popular in the fields of signal processing,time-frequency analysis and shape recognition. The sums are by nature, orthogonal. This results in them offering excellent conservation of energy, which is a property shared by Fourier Transform as well.
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Cite As

kaushal sharma (2024). Compressive Sensing and Denoising of Images using the Ramanu (https://www.mathworks.com/matlabcentral/fileexchange/130704-compressive-sensing-and-denoising-of-images-using-the-ramanu), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
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compressive-sensing-denoising-master/Compressed Sensing

compressive-sensing-denoising-master/Denoising Code

compressive-sensing-denoising-master/Ramanujan Matrix Code

Version Published Release Notes
1.0.0