Explore MATLAB source code curated for "重构" with clean implementations, documentation, and examples.
Implementation of image decomposition into high-frequency and low-frequency components using MATLAB, including reconstruction and visualization of both components with Fourier transform techniques
MATLAB implementation of wavelet packet transform for signal analysis and denoising, featuring complete wavelet decomposition and reconstruction procedures with detailed algorithmic explanations
This program implements single sub-band decomposition and reconstruction of normal heart sound signals through wavelet transform, utilizing MATLAB's wavelet toolbox functions for multi-level signal analysis and perfect reconstruction.
Implementation of image enhancement and fusion using wavelet decomposition and reconstruction techniques, featuring flexible wavelet selection and beginner-friendly code structure with detailed algorithm explanations.
This implementation demonstrates wavelet decomposition and reconstruction for image denoising and compression, featuring flexible wavelet selection and beginner-friendly code structure with detailed comments explaining key functions like wavedec2 and waverec2.
MATLAB implementation of decomposition and reconstruction functions based on Haar wavelet transform, featuring comprehensive code annotations and algorithmic explanations
Wavelet decomposition technique for processing discrete signals through decomposition and reconstruction, with MATLAB code implementation examples for signal analysis applications.
Implementation of Mallat Algorithm for Signal Decomposition and Reconstruction Using db4 Wavelet
Implementation of Haar wavelet decomposition and reconstruction using MATLAB with signal processing applications and code explanations
This implementation performs 2D discrete wavelet transform to decompose an image into frequency components and reconstruct it back to the original, demonstrating complete decomposition and reconstruction workflows with practical MATLAB code examples.