Introduction to Linear Algebra using MATLAB

Version 1.0.0 (1.37 KB) by Rohini
This project connects directly to the “Matrix Decomposition” and “Applications of Linear Algebra"
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Updated 11 Nov 2025

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Noisy images contain random high-frequency variations, which usually affect smaller singular values.
By reconstructing the image using only the top singular values, we naturally filter out noise while preserving main structures.
Thus, SVD acts like a low-pass filter in matrix space.

Cite As

Rohini (2025). Introduction to Linear Algebra using MATLAB (https://se.mathworks.com/matlabcentral/fileexchange/182571-introduction-to-linear-algebra-using-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2025b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0