Compressive Sensing Implementation for Array Signal Processing: A Comparative Analysis with MUSIC Method
Implementation of Array Signal Processing Using Compressive Sensing Technology: Performance Comparison with MUSIC Algorithm
Explore MATLAB source code curated for "对比" with clean implementations, documentation, and examples.
Implementation of Array Signal Processing Using Compressive Sensing Technology: Performance Comparison with MUSIC Algorithm
This repository provides comprehensive source code for comparing various MIMO channel estimation methods, featuring detailed implementations of LS, LMMSE, and MMSE algorithms with performance analysis capabilities.
A MATLAB implementation of the Differential Evolution algorithm with comprehensive code explanations. The basic DE concept is straightforward, making it suitable for beginners to write their own version and compare results. The program demonstrates core operations including mutation, crossover, and selection processes with vectorized computations.
FIR filter design using Genetic Particle Swarm Optimization (GPSO) and Chaotic Particle Swarm Optimization (CPSO) with performance comparison. The filter parameters are adjustable, enabling optimal solution discovery through evolutionary computation techniques.
Implementation and comparative analysis of complex network similarity metrics, featuring predictive capabilities for both scale-free networks and nearest-neighbor coupled networks. Includes performance evaluation of prediction results with an improved algorithm and a novel accuracy assessment metric for more precise evaluation.
MATLAB code implementation of Butterworth filter for audio signal processing, featuring comparison with other filter types and detailed algorithmic explanations
Comparative analysis of various LDPC decoding algorithms using a code length of 512 and code rate 1/2, with implementation insights for iterative and Min-Sum algorithms.
Implementing grayscale image compression through DCT transformation, calculating compression ratios, and comparing images with different compression levels using MATLAB-based algorithms.
Performance simulation comparison of SER for OFDM systems using LS (Least Squares) and LMS (Least Mean Square) channel estimation techniques.
Dual-Population Ant Colony Algorithm for Traveling Salesman Problem (TSP). Includes data files: "30-city TSP problem data with optimal solution.mat", "75-city TSP problem data.mat", and "442-city TSP data with algorithm comparison.mat" for algorithm validation and performance benchmarking.