MATLAB Implementation Program for Genetic Algorithms
Multiple examples and various computational methods for genetic algorithm implementation in MATLAB, featuring diverse optimization scenarios and algorithmic approaches
Digital Watermarking Program Based on DCT Algorithm
A MATLAB-implemented digital watermarking application utilizing DCT transformation for embedding watermarks into images through frequency-domain processing
Generation of Zadoff-Chu (ZC) Sequences
This program generates Zadoff-Chu (ZC) sequences, which are utilized in LTE's Random Access Channel (RACH) procedure and downlink synchronization process. The implementation follows the mathematical formulation of ZC sequences with configurable root index and sequence length parameters.
Detection of Watermarked Images
Detection of images with embedded watermarks using the previously uploaded watermarking algorithm add_score.m, which handles the watermark insertion process.
GPS Signal Acquisition Simulation
MATLAB implementation of GPS signal acquisition algorithms, featuring both coherent and non-coherent integration methods with code examples.
MATLAB Image Registration Code Implementation
MATLAB source code for image registration, designed for beginners to study together. This package contains comprehensive image registration programs collected from various online sources.
Texture Image Feature Extraction Program Based on Non-Subsampled Wavelet Transform
Texture Image Feature Extraction Program Based on Non-Subsampled Wavelet Transform with Algorithm Implementation Details
MATLAB Implementation of Fractional Fourier Transform
A discrete fractional Fourier transform program implemented in MATLAB, providing computational methods for frequency domain analysis with fractional order operations.
Comprehensive PID Control MATLAB Simulation Example with Full Implementation
A complete MATLAB simulation example for PID control that is ready to use, including M-file implementations and SIMULINK models with detailed parameter tuning and performance analysis capabilities.
Modulation Recognition for 6 Signal Types
Modulation recognition for 6 different signal types achieving over 90% accuracy when SNR < 10dB. Excellent implementation featuring robust signal processing algorithms and classification techniques!