Professional MATLAB source code with comprehensive documentation and examples
This is a particle filter implementation that realizes the basic particle filtering algorithm, specifically the SIR (Sequential Importance Resampling) method programmed in MATLAB, featuring importance sampling and resampling procedures.
A program implementation of an optimal quantizer using the Lloyd-Max algorithm, featuring lloydmax as the main function with iterative centroid updates and variance minimization capabilities.
Implementation of an iterative algorithm for calculating the R(d) rate-distortion function with visualization of the R(d) curve using MATLAB/Octave code
MATLAB simulation for implementing water-filling algorithm code in power allocation optimization, including algorithm principles, practical implementation approaches, and performance verification techniques.
Fang algorithm for cellular network TDOA positioning, personally tested and validated with implementation insights.
Implement compressed sensing functionality by solving L1-norm minimization problems through linear programming algorithms, with practical code implementation strategies and optimization techniques
This resource provides Python code for generating Swiss Roll datasets and implementing Locally Linear Embedding (LLE) algorithm for dimensionality reduction, offering practical value for students studying manifold learning techniques with complete co
Target tracking is increasingly valued in both defense and civilian applications. JPDA (Joint Probabilistic Data Association) represents a classical algorithm in multi-target tracking. We provide a detailed JPDA implementation featuring clear code st
MATLAB implementation for optimized least squares support vector machines with ready-to-use functionality and comprehensive features.
This toolkit provides multiple MATLAB programs for implementing Independent Component Analysis, featuring algorithms like FastICA and JADE with practical code examples for signal processing applications.
Implementation of KNN algorithm for 0-9 handwritten digit classification achieving over 90% accuracy, featuring separate training (7291 samples) and testing (2791 samples) datasets. The MATLAB-based solution includes comprehensive documentation with
A comprehensive guide to inverse filtering, Wiener filtering, and constrained least squares filtering for image restoration, with implementation insights for beginners
Curve Fitting and Interpolation - Fundamental Techniques for Data Analysis and Prediction
Extended Kalman Filter Toolbox containing multiple filtering algorithms with detailed examples and implementation guidance for effective learning
A practical brushless DC motor model with PIC control algorithm implementation, featuring comprehensive code-level descriptions for real-world applications.
K-Nearest Neighbors (KNN) implementation for pattern recognition, featuring a provided dataset suitable for beginners to deepen understanding of the KNN algorithm and its practical implementation.
This project utilizes MATLAB software to implement a terrain-aided navigation algorithm through particle filtering, featuring sensor data processing, state estimation, and probabilistic trajectory prediction.
This MATLAB program implements an object detection algorithm based on a multi-scale and deformable object detection model trained using discriminative methods, featuring cascaded detection with deformable part models. The implementation includes pyra
MATLAB-implemented programs for computing approximate entropy, enhanced sample entropy, and optimized fuzzy entropy—serving as robust complexity metrics for algorithm analysis with embedded pattern matching and fuzzy set operations.
Source code for commonly used MATLAB interpolation algorithms, including both custom-written and downloaded implementations