Algorithms for DOA Estimation
Numerous algorithms exist for DOA estimation, with the enhanced ESPRIT algorithm now being preferred as it enables both more efficient angle estimation and improved accuracy.
Improved Algorithm for Cumulant-Based Independent Component Analysis
An enhanced algorithm for independent component analysis based on cumulants, which achieves blind source separation through simultaneous diagonalization of third-order and fourth-order cumulant matrices, with optimized computational efficiency and separation accuracy.
DOA Estimation for Coherent Signals Using Spatial Smoothing Algorithm
Implementation of spatial smoothing algorithm for coherent signal DOA estimation, along with enhanced variants based on covariance matrix decomposition and sparsity utilization - suitable for experimental applications
Comprehensive Collection of All Enhanced PSO Algorithms
This repository contains all improved Particle Swarm Optimization (PSO) algorithms with detailed code implementations and comparative analysis to assist researchers and practitioners in optimization tasks.
Image Matching of Two Images Using MATLAB
Implementing image matching of two images in MATLAB using two distinct algorithms: 1. Grayscale-based template matching 2. Improved template matching algorithm with GUI-based input/output interface.
MATLAB Implementation of Support Vector Machines with Code Examples and Algorithm Enhancements
High-quality MATLAB programs for Support Vector Machine (SVM) implementation, featuring practical examples, improved algorithms, and pre-processed gene datasets for SVM analysis - ideal for machine learning research and education.
Particle Swarm Optimization Algorithm
Particle Swarm Optimization Algorithm and Its Multiple Improved Variants
An Enhanced Algorithm Based on K-SVD for Sparse Dictionary Learning
This algorithm presents an improved version of the K-SVD algorithm, designed specifically for sparse dictionary learning. It effectively reduces computational complexity and accelerates dictionary update speed compared to traditional methods. The implementation typically involves optimized sparse coding steps and efficient singular value decomposition (SVD) operations.
Enhanced Algorithm for Extreme Learning Machines
EI-ELM Main Program: An Improved Extreme Learning Machine with Enhanced Random Search Capabilities
CEEMDAN: An Enhanced Algorithm Improving Upon EMD and EEMD
CEEMDAN is an improved algorithm over EMD and EEMD, featuring subroutines and test examples in this package that are ready to run, with enhanced code implementation details for signal decomposition applications.