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Comparison of Threshold Estimation Methods for Wavelet based Denoising of Audio Signals.

@exploring technologies #transform #wavelet #matlab #mathworks #matlab_projects #matlab_assignments #phd #mtechprojects #deeplearning #projects #ai #machinelearning #artificialintelligence #matlabcode #research #signalprocessing #imageprocessing #wavelet #signals #matlabproject #imagesearch #mpeg2 #denoising #signalprocessing #denoise Please visit, @https://www.exptech.co.in/ for more information and downloads. Also follow the Facebook page: @https://www.facebook.com/DrAjayKrVerm... Hello viewers! In this video, a comparative study is shown to help us in selecting best combination of thresholding method, wavelet function and level of decomposition for denoising of audio of some Indian musical instruments. This video includes following components, * Introduction to denoising using wavelets. * Various Noise estimation and Threshold Selection methods. * MATLAB implementation (with MATLAB code). * Applying these methods on audio of some Indian musical instruments. * Comparative study and Result Analysis. Wavelet transform is a very powerful tool in the field of Signal Denoising. It gives far better denoising results as compared to frequency selective filters. Links of previous videos. 1. Introduction to Wavelet Theory and Its Applications:    • Видео   2. Wavelet based denoising of audio signals using MATLAB and SIMULINL:    • Wavelet Based Denoising of Audio Sign...   3. Wavelet Based Denoising of 1D Signals using Python:    • Wavelet Based Denoising of 1-D Signal...