Meanshift Clustering Algorithm with Implementation
A well-optimized Meanshift clustering algorithm implementation by an international developer, complete with runnable examples and practical demonstrations.
Backpropagation Neural Network Routine
Single Hidden Layer Backpropagation Network Routine with Clear Implementation Details
Discrete PSO Algorithm Routine for Traveling Salesman Problem
A discrete Particle Swarm Optimization (PSO) algorithm routine for solving the Traveling Salesman Problem, featuring dynamic path string generation with built-in validity assurance mechanisms
Sparse Representation Face Recognition Algorithm Routines with Implementation Examples
Comprehensive routines for sparse representation face recognition algorithms accompanied by l1magic PDF documentation and code implementation details
Particle Swarm Optimization Routine for Function Minimization
A self-developed implementation of Particle Swarm Optimization for function minimization, featuring clear code structure with detailed explanations of velocity updates, position tracking, and fitness evaluation to facilitate algorithm understanding.
Wavelet Threshold Denoising Routine
A wavelet threshold denoising routine supporting multiple source signal types and various threshold selection methods, with implementation examples for different signal processing scenarios.
Basic Particle Filter Implementation in MATLAB
A fundamental particle filter program based on importance sampling, featuring comprehensive code structure analysis and serving as an excellent introductory example for beginners
Algorithm Explanation and Code Examples for Blind Deconvolution
Implementation of blind deconvolution algorithms with detailed explanations and practical code examples - an excellent technical resource for signal processing applications
Chau Yuen's Unitary Space-Time Coding Simulation Routine
Implementation of Chau Yuen's unitary space-time coding routine analyzing BER and SER performance across varying SNR levels under Rayleigh fading channel with 4x1 MIMO configuration
Feedforward Backpropagation Neural Network Algorithm
MATLAB source code implementation of the feedforward backpropagation neural network algorithm with detailed comments, serving as a fundamental learning routine for programming neural networks. The code demonstrates key aspects including network initialization, forward propagation calculations, error computation, and backpropagation weight updates.