MATLAB Implementation of Fingerprint Recognition System
MATLAB-based fingerprint recognition implementation with enhanced image processing algorithms and demonstration images showing feature extraction and matching processes
Implementation for Calculating SNR of MRI Signal with Algorithm Details
Implementation methodology to compute Signal-to-Noise Ratio (SNR) for MRI signals using advanced signal processing algorithms and noise analysis techniques
MATLAB Complex Modulation ZOOM-FFT Algorithm: Analysis and Implementation
Comprehensive analysis and practical implementation of the complex modulation ZOOM-FFT algorithm using MATLAB, featuring detailed code examples and experimental results for technical applications.
This Folder Contains the Following Files
This folder contains the following files: 1. 02490rxP802-15_SG3a-Channel-Modeling-Subcommittee-Report-Final.doc: The final report of the channel modeling subcommittee. 2. cmx_imr.csv (x=1, 2, 3, and 4) represent files containing 100 actual channel implementations for CM1, CM2, CM3, and CM4 channel models.
MATLAB Implementation of the CRB Algorithm with Code Examples
Implementation of the CRB algorithm with a practical application scenario, including detailed code-related descriptions and algorithm explanations
Implementation of the ScSPM Algorithm with MATLAB Code
This package provides MATLAB implementations of the ScSPM algorithm from the CVPR 2009 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification." The code includes functions for sparse coding-based feature extraction and pyramid matching operations.
MATLAB Implementation of Genetic Algorithm Principles with Code Examples
Comprehensive guide to genetic algorithm theory, MATLAB implementation using key functions like ga() and custom operations, and practical applications in engineering optimization, machine learning, and data mining
Implementation of Sphere Decoding Algorithm
Implementation and Simulation Analysis of Sphere Decoding Algorithm with Comparative Study Against Maximum Likelihood Detection
Sequential Minimal Optimization (SMO) Algorithm for Support Vector Machine (SVM)
Implementation of the SMO algorithm for Support Vector Machine (SVM) with MATLAB source code files, SVM PDF documentation, and source code Word documentation. The project includes complete working examples demonstrating optimization steps and kernel function implementations.
MATLAB Implementation of Particle Swarm Optimization (PSO) Algorithm
A comprehensive PSO program package consisting of three core files: DeJong.m (fitness function), get_psoOptions.m (configuration settings), and pso.m (main algorithm). Simply copy these files to your MATLAB work directory for immediate execution. Customize parameters through get_psoOptions.m and modify the objective function in DeJong.m to adapt the algorithm to specific optimization problems.