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.
Professional MATLAB source code with comprehensive documentation and examples
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.
MATLAB implementation for GPS signal availability simulation, featuring algorithm performance analysis under various environmental conditions using MATLAB's computational and visualization capabilities.
MATLAB implementation of Prim's and Kruskal's algorithms with input specifications: x as adjacency matrix, p as node set, and output: spanning tree edge set G
Comprehensive Collection of Compressive Sensing Reconstruction Algorithms including: CoSaMP (Compressive Sampling Matching Pursuit), GBP (Gradient-Based Pursuit), IHT (Iterative Hard Thresholding), IRLS (Iteratively Reweighted Least Squares), MP (Mat
Implementation code for patient cancer onset prediction based on single-layer competitive neural network architecture with medical data processing
Implementation of the Kalman filter algorithm for tracking and estimating object motion trajectories using MATLAB routines and simulation techniques. The solution includes state prediction, measurement updates, and covariance matrix handling for opti
Comprehensive MATLAB program for Extended Kalman Filter implementation, featuring detailed algorithm explanation and practical code structure
Implementation of Principal Component Analysis for 2D Image Feature Extraction using MATLAB with Code-Level Explanations
DOA Estimation: 2D Direction (Azimuth and Elevation Angle) Scanning, Steering Vector Calculation for Point Sources Using Square Arrays, and Array Signal Processing
Calculation of satellite positions using navigation ephemeris data, with implementation details for position output algorithms
This graduation project implements advanced tensor operations in MATLAB, featuring well-optimized algorithms that ensure correct execution and reliable performance when called.
Pattern Recognition Assignment - Fully Custom Simulation Program. The implementation first applies Principal Component Analysis (PCA) for dimensionality reduction on the IRIS dataset, then classifies the reduced-dimensional data using the minimum err
MATLAB programs for Genetic Algorithm optimization and Least Squares Support Vector Machine implementation with code structure explanations
Image segmentation method using region growing followed by region merging to combine smaller regions, delivering superior segmentation results with MATLAB implementation details
The Vehicle Routing Problem (VRP) represents a classic NP-hard challenge where exact solutions are only feasible with limited demand points and route segments. Generally, obtaining global optimal or satisfactory solutions proves difficult. This appro
An efficient face recognition program utilizing PCA for dimensionality reduction followed by LDA classification methodology, implemented using the ORL face database with enhanced algorithmic descriptions.
This code implements shadow removal for intelligent visual monitoring/video surveillance systems. Shadow elimination significantly enhances target detection by reducing false positives and missed detections, improving recognition efficiency, and incr
Implementation of direction of arrival estimation with comparative analysis between MUSIC and Root-MUSIC algorithms, including code implementation approaches and performance characteristics
Programming Simulation Implementation of Generalized Predictive Control Algorithm with Code Integration
The Extended Kalman Filter (EKF) algorithm serves as one of the most significant methods in the field of filtering. This algorithm represents a typical application of Kalman filtering for handling nonlinear systems, utilizing linearization techniques