Multi-Channel Singular Spectrum Analysis
A multi-channel singular spectrum analysis algorithm implementation designed for time series multi-scale analysis, cross-scale comparison, and signal reconstruction applications.
Explore MATLAB source code curated for "多尺度分析" with clean implementations, documentation, and examples.
A multi-channel singular spectrum analysis algorithm implementation designed for time series multi-scale analysis, cross-scale comparison, and signal reconstruction applications.
Multiscale image analysis and Shapelet transform implementation using MATLAB programming, featuring algorithm explanations and key function descriptions
Leveraging the multiscale analysis properties of wavelet transform, this approach improves basic frequency-domain spectral subtraction by applying different thresholds at various wavelet domain scales. It separates voiced and unvoiced sounds during denoising based on their distinct characteristics, preserving unvoiced components to produce fuller-sounding speech while employing adaptive algorithms to further enhance signal quality.
MATLAB code implementation of Gaussian pyramid algorithm with detailed technical explanations
Laplacian Pyramid for Multi-Scale Image Processing
Affine-Invariant Feature Extraction with Multi-Scale Autoconvolution Approach
MATLAB code implementation of Curvelet Lab toolbox featuring hybrid MATLAB-C programming for efficient curvelet transforms in image processing applications
MATLAB code implementation for Gaussian pyramid algorithm with detailed technical explanations