Implementation and Demonstration of Principal Component Analysis Algorithm Using MATLAB Code
MATLAB-based computational implementation and demonstration code for Principal Component Analysis algorithm with detailed programming approach
Recursive Least Squares Estimation (RLS) Algorithm
Efficient implementation for system identification using Recursive Least Squares (RLS) estimation. This algorithm is crucial for determining model order and parameter values. The program implements RLS to compute model order estimates and relevant pa
MATLAB Implementation of Backpropagation Algorithm with Code Optimization
A functional BP algorithm program developed by a classmate, which appears to have been successfully debugged and optimized
Verification of Various Smoothing Algorithms
Comprehensive verification of multiple smoothing algorithms with MATLAB implementations and detailed documentation in Word format, including code analysis and parameter optimization insights
MATLAB Implementation of LMS Algorithm with Performance Analysis
LMS algorithm source code with performance curve plotting and error analysis capabilities, including parameter optimization and comparative evaluation
Compressive Sensing Reconstruction Algorithms for Image Signals
Reconstruction algorithms for image signal compressive sensing, featuring comparative implementations of BP (Basis Pursuit) and OMP (Orthogonal Matching Pursuit) algorithms with code-level analysis.
Random Forest Algorithm: An Excellent Machine Learning Approach
The Random Forest algorithm serves as a highly effective method for feature classification in machine learning applications, utilizing ensemble learning techniques for robust performance.
Prominent Convex Optimization Packages for International Applications
Internationally Renowned Convex Optimization Packages, Compressed Sensing Theory, and Reconstruction Algorithms with Implementation Insights
Solving Unit Commitment Problem Using Lagrange Algorithm
Implementation of Lagrange algorithm for unit commitment optimization in a 5-unit power system with code-level methodology
Monte Carlo Simulation for Singular Spectrum Analysis
Monte Carlo-based Singular Spectrum Analysis with confidence interval computation for assessing statistical significance. This algorithm implements classic methodologies with robust statistical foundations.
Dynamic Programming Algorithm for Knapsack Problem
This implementation provides an optimal solution to the knapsack problem using dynamic programming, featuring file I/O operations for reading input from txt files - specifically designed for beginners to learn algorithm implementation and practical c
Motor Imagery-Based Brain-Computer Interface (BCI) System with CSP Algorithm Implementation
In current motor imagery-based Brain-Computer Interface (BCI) systems, the Common Spatial Patterns (CSP) method serves as an effective signal processing technique widely adopted in practice. This program implements the fundamental CSP algorithm featu
PCA-based Remote Sensing Image Fusion
PCA-based remote sensing image fusion with excellent results, suitable as introductory material for learning remote sensing image fusion techniques, featuring implementation insights about principal component analysis and image processing workflows.
Implementation of Vector Quantization Using the LBG Algorithm
This graduation project demonstrates the implementation of vector quantization through the LBG algorithm using MATLAB, focusing on code structure, algorithm workflow, and vector dimension reduction techniques.
Kalman Filter MATLAB Implementation Example with Sinusoidal Signal and Gaussian White Noise
MATLAB implementation of Kalman filter demonstrating filtering results for sinusoidal signals contaminated with Gaussian white noise, including a standalone Kalman filter program that can be directly used in various applications
MUSIC Algorithm Implementation for DOA Estimation with 8-Element Linear Array
Implementation of MUSIC algorithm for Direction of Arrival (DOA) estimation using an 8-element linear array. The MUSIC method demonstrates high resolution capability, particularly at 36 degrees using predefined weights. Users can experiment with diff
Kernel-Based Principal Component Analysis
MATLAB source code for kernel-based PCA implementation, featuring classical algorithm design with practical code examples for educational purposes.
Group Search Optimizer (GSO) Algorithm with Standard Test Functions
A function optimization implementation of the Group Search Optimizer (GSO) algorithm, featuring several commonly used unimodal and multimodal benchmark test functions. Includes demo execution for practical demonstration of the algorithm's performance
PCA Algorithm MATLAB Implementation Example with Detailed Code Annotation
MATLAB implementation of PCA algorithm with comprehensive annotations and practical applications, featuring key functions like princomp for dimensionality reduction and data analysis techniques
2MUSIC Algorithm in DOA Estimation: A Comparative Analysis of Smoothing Techniques
Comparative analysis of forward-backward smoothing versus forward-only and backward-only smoothing techniques in 2MUSIC algorithm for Direction of Arrival (DOA) estimation, including implementation approaches and practical considerations