Explore MATLAB source code curated for "分离" with clean implementations, documentation, and examples.
Self-developed SVD-based denoising program that simultaneously removes noise and separates signal components of different frequencies, featuring frequency-domain signal decomposition capabilities.
Implementation of Fast Independent Component Analysis Algorithm for Maternal-Fetal Electrocardiogram Signal Separation with Code-Level Explanations
Adaptive threshold algorithm effectively separates foreground from background including handling non-uniform illumination conditions.
This program implements separation of 50Hz and 100Hz sine waves while providing an instructive implementation of wavelet spectral analysis, demonstrating frequency component isolation and spectral feature extraction techniques.
Application Background: Gabor filter serves as a linear filter for edge detection in image processing, with frequency and directional responses similar to the human visual system. Research shows Gabor filters excel in texture representation and separation, consisting of Gaussian kernel functions modulated by sinusoidal plane waves in the spatial domain. Technical Approach: Comparative analysis of PCA dimensionality reduction examples reveals consistent methodology - extracting covariance matrices from original data, computing eigenvectors/eigenvalues, and generating transformation matrices through KL transformation based on eigenvalue-sorted eigenvectors.
Blind Source Separation Algorithm for audio signal processing, utilizing ICA-based methods to isolate speech signals for speech recognition applications with code implementation examples
Experimental results using S-function demonstrate that ICA can effectively isolate multiple artifact signals including ECG and EOG contained within EEG signals, with practical implementation insights for signal processing algorithms.
FastICA for speech signal separation - separating three mixed audio signals using independent component analysis with code implementation insights
MATLAB-based simulation program for sound mixing and separation using Independent Component Analysis (ICA) algorithm with customizable parameters and visualization tools
A demonstration of blind source separation that can separate audio information into individual sound sources, implemented using signal processing algorithms like ICA or NMF