Walsh Hadamard Transform (Signal Filtering & Image Compression)
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Hello Viewers, in this video, Walsh-Hadamard Transform (WHT) is explained. This video tutorial includes, its theory, applications and implementation of signal filtering and Image compression using WHT in MATLAB.
The Walsh-Hadamard Transform is non-sinusoidal, orthogonal transform that is widely used in the areas of signals and image processing.
This video has following contents:
Introduction and Applications.
Forward and Inverse Walsh-Hadamard Transform (1-D).
Hadamard Matrix and Walsh Matrix (Sequency and Dyadic Ordering).
WHT for Images.
Example: Computing WHT of 1-D signals.
Example: Computing WHT of 2-D signals.
Fast WHT algorithm.
MATLAB Code for filtering of Noisy ECG signal using WHT.
MATLAB Code for Image Compression using WHT.
