Wavelet Decomposition of Speech Signals Using Different Wavelets

Implement speech signal decomposition with various wavelets in MATLAB, extract multi-level high/low frequency coefficients, visualize coefficient waveforms, and perform signal reconstruction.

Wavelet Soft Threshold Denoising Simulink Model

This Simulink model implements wavelet soft threshold denoising, performing wavelet decomposition on noisy speech signals to obtain high-frequency and low-frequency coefficients. The model processes these coefficients with thresholding techniques before reconstructing them to produce denoised speech output, effectively reducing noise while preserving speech quality.

Image Decomposition Using wavedec2, appcoef2, and detcoef2 for Wavelet Analysis

Classic MATLAB implementation using wavedec2, appcoef2, and detcoef2 functions to decompose images, extract high/low frequency coefficients, and perform image compression and reconstruction with complete source code.