BP Algorithm Implementation in MATLAB
A MATLAB implementation of the Backpropagation algorithm developed as part of my graduation project, featuring robust error handling and gradient computation with complete code functionality verification.
BM3D Denoising Algorithm Implementation and Technical Documentation
Implementation of the BM3D denoising algorithm with comprehensive documentation and practical code examples for advanced image noise reduction
Implementation of Extended Kalman Filter Algorithm
This function implements the Extended Kalman Filter algorithm for nonlinear state estimation and target tracking
MATLAB Implementation for Object Detection Using Contextual Relationships
Object Detection Utilizing Contextual Relationships - Algorithm Implementation and Code Examples
Improved k-Nearest Neighbor Algorithm in Data Mining (ML-KNN)
ML-KNN is an enhanced k-nearest neighbor algorithm in data mining that integrates Bayesian classification principles for improved multi-label prediction accuracy.
MATLAB Implementation of GPSR: A Geographic Distance-Based Greedy Routing Protocol
MATLAB simulation code for GPSR (Greedy Perimeter Stateless Routing) protocol with geographic distance-based greedy forwarding algorithm
MATLAB Implementation of a Novel Optimization Method: Fruit Fly Optimization Algorithm
This resource presents the Fruit Fly Optimization Algorithm (FOA), a novel optimization technique inspired by fruit fly foraging behavior. It provides valuable insights and practical implementation guidance for optimization researchers, featuring MAT
MATLAB Optimization Using Complex Method Algorithm
A MATLAB implementation of the Complex Method optimization algorithm for solving constrained nonlinear programming problems, featuring advanced constraint handling and visualization tools.
MATLAB Optimization for Reactive Power Compensation
This MATLAB optimization program for reactive power compensation supports multiple nodes and allows for customizable modifications to suit different system configurations.
Poincare Map for Chaos Study in Nonlinear Dynamics
Poincare maps in nonlinear dynamics provide an efficient method to identify periodic, quasi-periodic, or chaotic motions; this program implements Poincare map visualization with numerical integration and cross-section detection algorithms.
MATLAB Implementation of K-Means Algorithm with Detailed Code Analysis
MATLAB source code implementation of the K-Means clustering algorithm with enhanced commenting and comprehensive technical explanations
LMS Adaptive Time Delay Estimation Algorithm
Implements time delay estimation using the LMS adaptive algorithm with code-level insights into the filter implementation and delay tracking mechanism.
Structure EM Algorithm for Bayesian Network Learning
Implementation of the Structure EM Algorithm for Bayesian Network Structure Learning with Code-Level Explanations
Implementation of Matching Pursuit Algorithm
MATLAB implementation of matching pursuit algorithm using Gabor atoms - an efficient and powerful signal processing tool
Maximum Signal-to-Noise Ratio Based Blind Source Separation Algorithm for Chaotic Signals
A blind source separation algorithm based on maximum signal-to-noise ratio, specifically designed for processing chaotic source signals with implementation details on statistical analysis techniques.
Aircraft Kinematic Equations with Full-Angle Quaternion to Euler Conversion
Aircraft attitude kinematic equations represented by Euler angles exhibit singularity at large angles, whereas quaternion representation avoids this issue. Therefore, quaternions are universally adopted for aircraft kinematic equations. However, cont
Particle Filter and Unscented Particle Filter Algorithms
Implementation code for particle filter and unscented particle filter algorithms, including detailed Gaussian mixture model parameter configuration
Unscented Particle Filter Routine
Unscented Particle Filter routine with a simple tracking application. Implementation in a clutter-free environment demonstrates core algorithm performance.
AR Parameter Estimation and Sine Wave Frequency Estimation Using Least Squares and SVD-TLS Methods
Implementation of AR parameter estimation and sinusoidal frequency estimation through ordinary least squares and SVD-TLS methodologies with algorithmic enhancements
GS Algorithm in Binary Optics Design and Dammann Grating Implementation
MATLAB implementation of the Gerchberg-Saxton (GS) algorithm for binary optics design and Dammann grating construction. The GS algorithm serves as a crucial beam shaping technique, while Dammann gratings represent common uniform beam splitting binary