Explore MATLAB source code curated for "小波分解" with clean implementations, documentation, and examples.
Wavelet decomposition applied to signal recognition using single-carrier signals, OFDM signals, and another multicarrier signal WPM. Essential for professionals working in signal processing and recognition with implementation insights on key algorithms and MATLAB functions.
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.
A novel decomposition approach that offers superior precision compared to wavelet decomposition, specifically applied in texture recovery applications with enhanced algorithmic performance.
Image denoising using wavelet thresholding techniques with MATLAB implementation. The code adds noise to images, performs 1 to 4-level wavelet decomposition for denoising, and generates signal-to-noise ratio (SNR) trend graphs to evaluate performance.
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.
Multiscale one-dimensional wavelet decomposition for signal analysis, with customizable wavelet bases that can be substituted according to application requirements. This implementation supports flexible parameter configuration for different decomposition levels and wavelet families.
Source code for wavelet denoising implementation, including wavelet decomposition, reconstruction, and threshold setting functions with MATLAB examples
Wavelet decomposition technique for processing discrete signals through decomposition and reconstruction, with MATLAB code implementation examples for signal analysis applications.
Perform wavelet decomposition on signals, apply hard thresholding for noise removal, and enhance signal accuracy through multi-band processing
This MATLAB-based wavelet transform program performs 4-level signal decomposition and reconstruction, featuring multi-resolution analysis with detailed implementation approaches for signal processing applications.