Professional MATLAB source code with comprehensive documentation and examples
Implementation of a hybrid TDOA Chan-Taylor algorithm combining time difference of arrival measurements with Chan's and Taylor's methods for improved location estimation accuracy in wireless positioning systems
Utilizing the layer separation algorithm and Fourier transform method with MATLAB programming to analyze the characteristics of Fiber Bragg Gratings (FBGs).
Feature dimensionality reduction techniques including Principal Component Analysis (PCA) and feature selection methods such as SFFS (Sequential Floating Forward Selection), SBS (Sequential Backward Selection), and SFS (Sequential Forward Selection).
Using mushrooms dataset to simulate pattern classification methods [Linear Classification, Bayesian Classification, Parzen Window, KNN] along with feature selection and dimensionality reduction techniques [PCA, LDA], including implementation code des
Implementation of ARMA model-based harmonic frequency estimation using Least Squares and SVD-TLS algorithms, including code-level explanations of parameter optimization and signal processing techniques.
MATLAB implementation for detecting and segmenting moving objects in video image sequences using motion analysis algorithms
A straightforward example demonstrating the implementation and principles of the LBG algorithm
Edge detection using bit consistency followed by image segmentation through K-means clustering and region growing algorithms, with referenced research papers and implementation insights.
The Taylor Series Expansion algorithm is a recursive positioning method that requires an initial position estimate and iteratively refines the location by solving the local least squares of TDOA measurement errors. This MATLAB-based program simulates
Code implementation for finite element mesh generation in electromagnetic field analysis, featuring visualization capabilities to display generated meshes and facilitate data interpretation.
This MATLAB program implements the G-P algorithm for correlation calculation using a mex-compiled version of correlation integral computation, bypassing the "temporary separation" method for enhanced computational efficiency.
This resource provides MATLAB implementations and PDF documentation focusing on target tracking, specifically featuring multi-model algorithms with practical code examples and theoretical support.
Implementation of constrained nonlinear optimization using MATLAB's fmincon function from the Optimization Toolbox, featuring detailed code execution procedures and algorithm explanations.
This MATLAB source code for radar target tracking provides comprehensive implementation examples, featuring algorithms like Kalman filtering and data association methods to assist researchers and engineers in developing efficient target tracking syst
Implementation of Direction of Arrival (DOA) Estimation Algorithm with Sparse Representation Theory in Coprime Array Signal Processing
Implementation of mobile target tracking for adaptive smart antennas using Kalman filter algorithm with provided source code
A MATLAB program implementing the k-means clustering algorithm for data point clustering and codebook construction, featuring cluster analysis and centroid calculation.
Original computational formulas, algorithms, and MATLAB-implemented programs for spherical astronomy (precession and nutation calculations) and celestial mechanics (planetary ephemerides). Includes 38 verified MATLAB source codes covering: Gregorian/
MATLAB implementation of conjugate gradient method for nonlinear optimization with algorithm efficiency analysis
MATLAB simulation program for Inertial Navigation System (INS) with implementation details