Classic Signal Denoising Using Wavelet Modulus Maxima Method with MATLAB Implementation
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Resource Overview
A MATLAB-based implementation of classic wavelet modulus maxima method for signal denoising, with output saved in TXT format. The program demonstrates multi-scale wavelet decomposition, modulus maxima detection, and threshold-based noise removal.
Detailed Documentation
This program implements classical signal denoising using the wavelet modulus maxima method. The implementation utilizes MATLAB's Wavelet Toolbox for multi-scale decomposition and modulus maxima extraction. Key steps include performing wavelet decomposition across multiple scales, identifying modulus maxima points that represent significant signal features, applying thresholding to distinguish between noise and genuine signal components, and reconstructing the denoised signal while preserving important transient characteristics. The denoised results are saved in TXT format for further analysis and verification. The algorithm effectively handles both stationary and non-stationary signals by leveraging the multi-resolution analysis capabilities of wavelet transforms.
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