A Node Localization Method Using RSSI Algorithm
This method implements node-to-node localization utilizing the RSSI algorithm for distance estimation and position calculation.
Implementation of JADE Algorithm: A Comparative Study of Widely Used Blind Source Separation Techniques
Source code implementation of the Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm, a commonly used blind source separation method with detailed code annotations and mathematical foundation explanations.
Solving Inequality-Constrained Convex Optimization Problems Using Barrier Methods and Primal-Dual Interior Point Methods
MATLAB implementation of barrier methods and primal-dual interior point methods for solving inequality-constrained convex optimization problems with practical code examples
K-means Clustering Algorithm for Color Image Segmentation
This MATLAB implementation applies K-means clustering algorithm for color image segmentation, utilizing pixel clustering techniques to partition images into distinct regions based on color similarity.
Iterative Closest Point Algorithm
Iterative Closest Point Algorithm: Computing Optimal Alignment Between Two Point Clouds with Code Implementation Insights
Logical Method Track Initiation in Radar Target Tracking
This logical method track initiation program for radar target tracking consists of two MATLAB files: simutrack.m and main.m. The simutrack.m file handles target trajectory simulation, while main.m serves as the main program entry point for processing
Generalized Predictive Control Algorithm Based on TS Model
Generalized Predictive Control Algorithm using TS Fuzzy Identification for Predictive Modeling
MATLAB Implementation of K-Nearest Neighbors Algorithm
Comprehensive MATLAB implementation of the K-Nearest Neighbors algorithm with detailed code structure and practical applications, providing valuable insights for KNN algorithm research and development
Algorithm Implementation for Predicting Circular Motion Using Kalman Filter
Implementation of Circular Motion Prediction Algorithm with Kalman Filter Approach
PCA Dimensionality Reduction Followed by LDA Classification for Face Recognition
This implementation includes two core modules (PCA and LDA) that perform principal component analysis for dimensionality reduction followed by linear discriminant analysis for classification, achieving excellent experimental results in face recogniti
The Most Classic Algorithm for Non-Negative Matrix Factorization
Implementation code from the seminal 1999 Nature paper introducing the fundamental non-negative matrix factorization algorithm
Open Source Kalman Filter
Open source Kalman filter implementation with comprehensive documentation and examples, featuring multiple command functions suitable for both learning and direct practical application
Spectral Peak Search Function for DOA Estimation Algorithms
Implementing this spectral peak search function in DOA estimation algorithms yields superior performance with optimized peak detection capabilities
The Forty Most Commonly Used Algorithms in Numerical Analysis
Implementation of the forty most frequently used numerical analysis algorithms using C++ and MATLAB, including detailed code explanations and practical applications
Statistical Pattern Recognition Methods in Pattern Recognition
Statistical pattern recognition methods in pattern recognition, including classical approaches like Bayesian methods, statistical learning, LDA, PCA, and SVM, provide an invaluable algorithmic toolbox with code implementation insights.
MATLAB Implementation of AR Model Parameter Estimation
AR Model Parameter Estimation with Kalman and Wiener Filter Design - Algorithm Explanations and MATLAB Implementation Approaches
A Collection of Classical Graph Theory Algorithms
This compressed archive contains a comprehensive collection of classical graph theory algorithms primarily developed in MATLAB, offering a complete variety suitable for learning purposes.
MCMC Markov Chain Monte Carlo Algorithm Specific Parameters
MCMC Markov Chain Monte Carlo Algorithm Specific Parameters - Use the Help Command for Implementation Details
PCA Feature Extraction Experiment on a UCI Dataset
Conduct PCA feature extraction on a UCI dataset and generate data scatter plots in two-dimensional PCA feature space with implementation details.
Transforming Computer Vision Object Tracking into a Sparse Matrix Search Process
This program converts computer vision object tracking into a sparse matrix search process, where pre-obtained sample particles are linearly multiplied with the sparse matrix to achieve target localization through efficient matrix operations and optim