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.

[@larryk4082]

Excellent lecture! Thanks

[@kallelay5948]

All my doubts have been cleared. Thank you!

[@CooperlYea]

Excellent lecture! Thank you!

[@adityaprakash9957]

THANK YOU SIR,

[@sabreenamushtaq4895]

Thank you so much sir

[@pingchen2603]

This is great

[@reyamthair1217]

Thank you

[@angelp4724]

Thanks

[@user-pp5vb7rm8q]

i am getting error in that line. trying to solve but not able to solve. " mse= sum(sum((imgr-imgg).^2))/(r*c);"

[@exploringtechnologies9]

What error?