High-Frequency Radar Target Detection with Maximum Likelihood Constant False Alarm Rate Method
High-Frequency Radar Target Detection Using Maximum Likelihood CFAR Approach with Weibull Distribution Modeling and Implementation Techniques
MATLAB-Based Extreme Learning Machine (ELM) Algorithms for Classification and Regression Tasks
Implementation of Extreme Learning Machine (ELM) classification and regression algorithms using MATLAB, featuring high-speed training and strong generalization capabilities for large-scale datasets.
Background Subtraction Algorithm Using Gaussian Mixture Models
Implementation of background subtraction algorithm based on Gaussian Mixture Models with MATLAB code examples and detailed explanations.
Greedy Algorithms for Compressed Sensing
This content focuses on greedy algorithms for compressed sensing, specifically using Orthogonal Matching Pursuit (OMP) for Direction of Arrival (DOA) estimation, primarily applied in array signal processing applications.
Applications of MATLAB in Mathematical Modeling
Zhuo Jinwu's Exploration of MATLAB Applications in Mathematical Modeling with Code Implementation Insights
Nonparametric DOA (Direction of Arrival) Methods for Spectral Estimation
Nonparametric DOA (Direction of Arrival) Methods for Spectral Estimation - MUSIC (Multiple Signal Classification) Algorithm
Biased Kalman Filter for Eliminating NLOS Errors in Wireless Localization
This program implements a biased Kalman filter to mitigate non-line-of-sight (NLOS) errors in wireless localization, incorporating an NLOS detection module that applies biased Kalman filtering for NLOS conditions and standard Kalman filtering for lin
Extended Kalman Filter for Motion Parameter Estimation in 1D, 2D, and 3D Spatial Degrees of Freedom
Implementation of Extended Kalman Filter algorithms for motion parameter estimation across 1D, 2D, and 3D spatial degrees of freedom, specifically realized from the 2008 IROS paper "Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwat
Kalman Filter for Nonlinear System Identification
Kalman filtering techniques for nonlinear identification, civil engineering health monitoring, and damage detection applications with implementation considerations
Graph Theory Shortest Path Dijkstra Algorithm Implemented Using Set Commands
MATLAB implementations of graph theory algorithms including: Dijkstra's shortest path algorithm using set commands, Floyd-Warshall algorithm for all-pairs shortest paths, Hungarian algorithm (Hungary) for maximum bipartite matching, two methods for m
Research Papers on Reinforcement Learning
A collection of valuable reinforcement learning papers featuring practical examples, detailed algorithm workflows, and implementation approaches to enhance understanding and application
Comparison of Standard Particle Filter and an Enhanced Particle Filter Algorithm
A comparative analysis between the standard particle filter algorithm and an enhanced version, demonstrating the superiority of the improved algorithm through implementation details and performance metrics.
Nine-Dimensional Kalman Filter Tracking Algorithm
A nine-dimensional Kalman filter tracking algorithm that simultaneously estimates position, velocity, and acceleration components along x, y, and z axes.
MATLAB Implementation of the Simplex Algorithm
A MATLAB program implementing the simplex algorithm for solving linear programming problems, featuring user-friendly design and practical parameter adjustments.
Source Code for PCA and KPCA Algorithms
This repository contains implementation source code for Principal Component Analysis (PCA) and Kernel PCA (KPCA), developed for intelligent technology courses with detailed algorithmic explanations and MATLAB/Python implementation considerations.
Image Fusion Using Compressive Sensing in Fourier Coefficient Domain
Implementation of compressive sensing-based image fusion in Fourier coefficient domain with optimized computational efficiency
MATLAB Implementation of LBP Algorithm with Code Explanation
LBP (Local Binary Pattern) algorithm implementation completed as coursework - this algorithm demonstrates fundamental image processing principles through straightforward MATLAB code structure and pixel neighborhood operations
Brief Introduction to MATLAB's Least Squares Function lsqcurvefit
A concise overview of MATLAB's lsqcurvefit function for solving least squares problems, with enhanced code implementation details and algorithm explanations.
Target Tracking Implementation Using Nearest Neighbor Data Association Algorithm
Implementation of target tracking using the nearest neighbor data association algorithm with practical code examples and technical insights for researchers in the tracking domain
MATLAB Code Implementation for GPS Single Point Positioning with Kalman Filtering
GPS single point positioning program using Kalman filtering method, achieving 20*40 meter accuracy, complete with simulation analysis result graphs and detailed code implementation insights