MATLAB Code Implementation for Wavelet Denoising
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Resource Overview
Wavelet denoising program using heursure threshold algorithm for signal noise reduction, featuring implementation of threshold selection and signal reconstruction functions.
Detailed Documentation
Wavelet denoising programs are signal processing techniques that apply the heursure threshold denoising algorithm to reduce noise in signals. This implementation typically involves key MATLAB functions such as wdenoise() or custom wavelet decomposition routines, where the algorithm automatically determines optimal thresholds based on Stein's Unbiased Risk Estimate principle. The program effectively removes noise interference while preserving critical signal information, thereby enhancing signal quality and clarity through multi-level wavelet decomposition and threshold-based coefficient processing. The code structure generally includes signal preprocessing, wavelet transformation, threshold calculation using heursure method, coefficient modification, and inverse wavelet reconstruction.
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