Professional MATLAB source code with comprehensive documentation and examples
A simulation program from "Modern Signal Processing" that demonstrates parameter estimation for AutoRegressive Moving Average (ARMA) models using least squares method, including harmonic recovery implementation with MATLAB code examples and algorithm
This resource provides a parallel acquisition simulation for three GPS satellites, offering insights into GPS signal processing algorithms and their implementation through code-based approaches.
Dynamic Simulation Assignment (Implicit Trapezoidal Integration) Description: 1. Power flow calculation uses rectangular coordinate form with second-order term preservation in fast power flow algorithm 2. Transient stability analysis employs modified
MATLAB simulation of three-level inverter using Space Vector PWM (SVPWM) technique, including implementation of principal component analysis model, Chebyshev weighting for main-to-sidelobe ratio control in linear arrays, spectral estimation methods i
Comprehensive MATLAB implementations for essential graph theory algorithms: Warshall-Floyd algorithm for shortest paths in weighted graphs, Kruskal's algorithm for minimum spanning trees, Hungarian algorithm for bipartite graph matching, feasible lab
MATLAB implementation of GPS/INS integrated navigation system featuring tightly coupled algorithm design, validated through simulation with demonstrated effectiveness.
Target tracking represents one of the principal application domains for Kalman filtering. Through this assignment or exploration, you will deepen your understanding of the Kalman filter algorithm, grasp its fundamental characteristics, and master the
This face recognition program performs image preprocessing followed by feature extraction using Principal Component Analysis (PCA). The implementation includes histogram equalization, dimensionality reduction, and classification algorithms.
The Levenberg-Marquardt algorithm is a highly effective nonlinear least squares method, particularly useful for bundle adjustment in photogrammetry and computer vision applications, with robust numerical implementation characteristics.
A comprehensive source code implementation of the DV-Hop algorithm with simulation results and graphical outputs, facilitating deeper understanding of the algorithm's mechanics and performance characteristics.
Calculation of bifurcation diagrams for dynamical systems, chaotic systems, and high-dimensional chaotic systems with algorithm implementation details
A MATLAB implementation for spatial temperature field calculation using the Gauss-Seidel iterative method algorithm.
Implementation of target tracking using the nearest neighbor data association algorithm in MATLAB environment, featuring code-level explanations of distance calculation and position updates.
Implementation of Kalman Filter Algorithm for Accurate Battery SOC Estimation in Battery Management Systems
This study addresses the sparse reconstruction problem in compressed sensing by introducing a block-based strategy to the original Matching Pursuit (MP) algorithm, where the atom dictionary is partitioned into blocks to evaluate algorithm performance
Latest level set algorithm based on local energy function with significant improvements in accuracy and computational efficiency, featuring optimized MATLAB implementation approaches.
The real-valued MUSIC algorithm for DOA spectrum estimation transforms complex covariance matrices into real-valued matrices, reducing eigenvalue decomposition computational load by 75%, while maintaining the capability to resolve coherent signal sou
This implementation uses MATLAB to solve the eigenvalue and eigenfunction problems of the time-independent Schrödinger equation by combining the shooting method with the Numerov algorithm. The method successfully computes eigenvalues and eigenfunctio
Implementation of the GMRES method for solving large linear systems, featuring detailed algorithm explanations and underlying principles with code implementation insights
In practical applications, there is often a need to solve nonlinear integer programming or mixed-integer programming problems. Branch and bound is a commonly used algorithm in this domain, but MATLAB's built-in toolbox lacks dedicated functions for t