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This set of programs implements additive Gaussian noise removal through bispectral analysis and wavelet transforms. Key implementations include: 1. Bispectral analysis program for single variables calculating third-order cumulants and Fourier transforms 2. Autocorrelation function computation using inverse Fourier transform with proper normalization 3. Spectral analysis suite using FFT for preference spectrum, power spectrum, RMS spectrum, and logarithmic spectrum 4. Wavelet-based denoising pipeline for .wav audio signals with white noise removal 5. Comparative analysis framework evaluating multiple wavelet types and thresholding techniques on identical signals

MATLAB 221 views Tagged

This program is designed for image restoration, specializing in addressing motion blur and defocus blur issues with excellent recovery results. The implementation involves point spread function estimation and deconvolution algorithms to reconstruct清晰 images.

MATLAB 195 views Tagged