Numerous Classic Audio Watermarking Techniques
A collection of classic audio watermarking programs, some ready for immediate implementation while others require calibration and debugging before deployment
Explore MATLAB source code curated for "经典" with clean implementations, documentation, and examples.
A collection of classic audio watermarking programs, some ready for immediate implementation while others require calibration and debugging before deployment
Implementation of the classic Zernike algorithm for subpixel edge detection - compiled and ready to run with optimized performance and comprehensive documentation.
Classic MATLAB implementation of Hidden Markov Model (HMM) algorithm for pattern recognition and artificial intelligence applications, featuring complete training and recognition modules
Classic shortwave channel simulation program – Wattson model, highly practical with proper parameter configuration for optimal performance
A comprehensive MATLAB simulation for OFDM transmission systems featuring fundamental algorithms and implementation techniques
MATLAB source code for grayscale histogram matching, a classic implementation with detailed algorithm explanations
This code implements a classic SNR estimation algorithm based on statistical moment estimation principles, utilizing the 2nd and 4th order moments of signals to estimate the signal-to-noise ratio of received signals. The implementation demonstrates how statistical moments can be efficiently calculated for digital signal processing applications.
Classic MATLAB code implementation of the Scale-Invariant Feature Transform (SIFT) algorithm for feature detection and extraction
High-quality MATLAB implementation of the classic Ant Colony Optimization algorithm, featuring customizable parameters for various optimization problems. While C++ implementation is possible, MATLAB provides simpler syntax and built-in visualization tools for algorithm development and testing.
A very classic feature extraction algorithm - 2DPCA source code written in MATLAB, featuring efficient matrix operations and dimensionality reduction techniques