Wavelet Denoising
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.