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updated 2 years ago

Feature Extraction Using Multisignal Wavelet Transform Decomposition by Dr. Rami Khushaba

Feature extraction using the wavelet transform. (feature extraction, wavelet transform)

getmswtfeat(x,winsize,wininc,SF)

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updated 2 years ago

Haar Reconstruction without inbuilt functions by Rahul Kashyap

Reconstruction of decomposed parts using haar wavelet (wavelet transform, wavelet reconstructio..., haar reconstruction)

f_recon=HaarReconstruction(a,d)

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updated 2 years ago

Haar Wavelet Transform by Rahul Kashyap

haar transform of an input function "f" (haar transform, wavelet transform)

haarTransform(f)

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updated almost 3 years ago

Harmonic Wavelet For Wavelet transform by Santhana Raj

Santhana Raj (view profile)

Computes the Harmonic wavelet and outputs in the form similar to other wavelets (signal processing, image processing, wavelet transform)

[out1,out3]=harmonic(LB,UB,N,option)

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updated almost 3 years ago

Multiresolution Gabor-like transforms by Kunal Chaudhury

Matlab implementation of the multiresolution Gabor filters in 1 and 2 dimensions. (gabor function, wavelet transform, fractional bsplines)

analysis(f, J, alpha, tau)

analysis(inImg, J, alpha, tau)

autocorr(M, alpha)

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updated 3 years ago

R-peak detection using DWT and classification of arrhythmia using bayesian classifier by Selva

Selva (view profile)

This code is developed at PSG Tech- Embedded Systems Design Laboratory (ecg, rpeak, bayesian classifier)

wavelet5point.m

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updated 5 years ago

PadSignal by Nathanael Yoder

Pads a signal with portions of the signal itself to decrease end effects. (end effects, hilbert transform, wavelet transform)

padsignal(y,plotToggle)

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updated almost 6 years ago

BlockShrink denoising by Dengwen Zhou

BlockShrink code package (image denoising, wavelet transform, sure)

Calc_MSE_PSNR(clean,denoised)

DenoiseFun.m

Parameters.m

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updated almost 7 years ago

Relative Wavelet Energy by Guan Wenye

Guan Wenye (view profile)

a program calculates Relative wavelet energy with brief tutorial (time frequency, wavelets, relative wavelet ener...)

[yout]=sum_rela(c,l,N1)

output1=relative_energy1(x,interval,levels)

y=relative_energy(DATA)

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