Computing Fast Fourier Transform (FFT) with MATLAB Implementation
A MATLAB-based program for computing Fast Fourier Transform (FFT), demonstrating algorithm implementation and signal processing applications
MATLAB Simulation of CMA Blind Adaptive Algorithm
MATLAB simulation of CMA blind adaptive algorithm with accompanying research paper discussion. The program is directly executable. The corresponding algorithm can be found in the book "Principles of Adaptive Filters" published by Electronic Industry Press.
Radar Linear Frequency Modulation Signal Generation
A system development program designed for radar LFM signal generation with comprehensive code implementation support, suitable for both beginners and professionals in signal processing applications.
OFDM for Limited Transmission Channel Applications
A MATLAB-based OFDM implementation program designed for limited transmission channels, primarily focusing on optical fiber communication systems with enhanced code-driven channel modeling and signal processing techniques.
Adaptive Noise Cancellation for Speech Enhancement
Custom implementation of adaptive noise cancellation speech enhancement algorithm that accounts for correlation between reference noise and input noise signals.
Color Recognition and Segmentation Program
A compact MATLAB-based computer simulation program designed for color identification and segmentation tasks
MP-based Signal Sparse Decomposition Reference Implementation
A reference implementation for signal sparse decomposition using the Matching Pursuit (MP) algorithm, originally sourced from "Sparse Decomposition of Signals and Images with Preliminary Applications" with enhanced code documentation and algorithmic explanations.
Implementation of Beamforming for Array Signals using LMS and RLS Algorithms
MATLAB implementation of beamforming for array signals using both LMS and RLS algorithms, featuring complete source code with detailed explanations and comments
DOA Estimation for Coherent Signals
This program implements direction of arrival (DOA) estimation for coherent signals. When signal sources are coherent, conventional MUSIC algorithm fails to handle them properly. This demonstration utilizes alternative DOA estimation algorithms with enhanced code implementation details.
Multi-Objective Genetic Algorithm Program - Running Demo Files Guide
A comprehensive guide to executing SGALAB_demo_*.m files in the Multi-Objective Genetic Algorithm framework. New features include: Multiple-Objective GA implementations (VEGA, NSGA, NPGA, MOGA), enhanced TSP operators (PMX, OX, CX, EAX, Boolean matrix), advanced selection mechanisms (Truncation, Tournament, Stochastic), and diversified mutation methods for binary/real/DNA encoding systems.