Extracting Audio Signal Bandwidth
MATLAB source code for extracting audio signal bandwidth, provided for reference purposes with enhanced implementation details
Explore MATLAB source code curated for "Matlab源代码" with clean implementations, documentation, and examples.
MATLAB source code for extracting audio signal bandwidth, provided for reference purposes with enhanced implementation details
This repository provides comprehensive MATLAB source code for complete LDPC (Low-Density Parity-Check) encoding and decoding operations. The implementation is highly suitable for communication system simulations and offers convenient integration capabilities with built-in parameter configuration and performance analysis functions.
A collection of MATLAB source codes for video watermarking implementations, directly executable in MATLAB environment. These codes feature comprehensive algorithm demonstrations and practical implementation approaches, providing significant reference value for digital watermarking research and development.
MATLAB implementation of Bayesian and Bayesian compressive sensing algorithms with complete source code
A comprehensive MATLAB source code for RGB-based face detection, providing valuable resources for enthusiasts and researchers working in facial recognition domains. Includes algorithm implementation details and practical coding examples.
MATLAB source code implementation for Markov Chain Monte Carlo simulation with comprehensive algorithm explanations
MATLAB source code for path planning using genetic algorithms, containing multiple sub-files. Execute the mypath.m file for testing and demonstration.
MATLAB implementation of wavelet-based multiscale edge detection algorithm with comprehensive code documentation and mathematical foundations
MATLAB source code for image inpainting using Total Variation (TV) method, featuring heat diffusion restoration and multi-scale approaches with detailed algorithm implementations and function descriptions.
MATLAB source code for calculating the centroid position of a spot in a grayscale image. The algorithm uses the Otsu's method (maximum between-class variance) to accurately determine the (x, y) coordinates of the spot centroid. This implementation includes automatic threshold calculation and weighted centroid computation based on pixel intensities.