Explore MATLAB source code curated for "小波去噪" with clean implementations, documentation, and examples.
MATLAB programs implementing wavelet denoising using various thresholding techniques including soft/hard thresholding and adaptive thresholding with code implementation details.
Two practical wavelet denoising programs featuring threshold optimization techniques and signal reconstruction algorithms, ideal for signal processing applications and collaborative development
MATLAB implementation example for wavelet denoising with two-stage denoising process
A MATLAB-based wavelet denoising program example demonstrating voice file processing, including implementation details of wavelet decomposition and noise reduction algorithms.
MATLAB programs for wavelet packet denoising and wavelet denoising, featuring detailed algorithm explanations and implementation approaches to enhance understanding of both techniques.
Wavelet Transform Threshold Denoising Method, first proposed by Professors Johnstone and Donoho in 1992, is a nonlinear denoising technique. It achieves near-optimal performance in terms of minimum mean square error while featuring the simplest implementation and minimal computational complexity. The core principle: orthogonal wavelet decomposition provides time-frequency localization, where signal components exhibit larger wavelet coefficients while noise distributes uniformly across high-frequency bands. Implementation involves threshold selection, coefficient shrinkage, and signal reconstruction - typically implemented using soft/hard thresholding functions in wavelet toolkits.
MATLAB M-file for defect identification, implementing median filtering and wavelet denoising for defect images, using mathematical morphology methods to extract binary image contours, and calculating area and perimeter measurements for cracks and other defects
MATLAB-based wavelet denoising program for signal processing with implementation details and collaborative discussion opportunities
Wavelet denoising implementation using MATLAB with detailed code explanations, ideal for beginners learning signal processing techniques
MATLAB wavelet denoising program for speech signal enhancement in noisy environments, using imported audio files as speech signals with additive Gaussian random noise, performing 1D discrete wavelet inverse transformation using db3 wavelet basis with threshold processing implementation