GPSR-BB Algorithm for 2D Image Reconstruction
Reconstructing 2D images using the GPSR-BB algorithm with clear implementation examples and practical code-related insights.
Professional MATLAB source code with comprehensive documentation and examples
Reconstructing 2D images using the GPSR-BB algorithm with clear implementation examples and practical code-related insights.
This program implements Detrended Fluctuation Analysis (DFA), a powerful algorithm for removing trends and periodic components from time series data to extract stochastic behavior patterns.
Implementation of Support Vector Data Description for fault diagnosis, featuring extensive code annotations, detailed algorithm explanations, and comprehensive reference documentation
Optimization Design of Dual-Objective Functions for Vehicle Dynamic Performance and Fuel Economy Based on MATLAB
MATLAB implementation for visualizing the convergence rate characteristics of the Least Mean Squares (LMS) adaptive filtering algorithm
This Gaussian mixture model-based motion target detection program includes the corresponding research paper! Highly valuable for reference implementation with detailed algorithm explanations and performance analysis.
A case study implementation demonstrating coal quantity prediction through Least Squares Support Vector Machines (LS-SVM) with regression analysis
RSSI-based localization technique utilizes known transmit signal strength from beacon nodes, where receiver nodes calculate path loss based on received signal strength. The system converts path loss to distance using theoretical or empirical signal p
Effectively employing MATLAB's Finite Element Toolbox for finite element analysis - a highly practical solution with robust computational capabilities
MATLAB interactive multi-model UKF and EKF filtering program with comprehensive documentation
Robust positioning system simulation code incorporating Angle of Arrival (AOA), Time of Arrival (TOA), and Time Difference of Arrival (TDOA) algorithms with comprehensive environmental modeling capabilities for complex scenarios.
Comprehensive Collection of Manifold Learning Algorithms Featuring MDS, PCA, ISOMAP, and LLE with Implementation Insights
Computing shortest paths and their lengths between any two nodes using Floyd's Algorithm, where D0 represents the graph's adjacency matrix. The algorithm iteratively updates the distance matrix to find optimal paths through dynamic programming.
Despite the extensive practical use of self-tuning controllers, their limitations are increasingly evident—particularly in systems with variable orders, time delays, and parameters. Consequently, developing controllers with robust performance is high
K-SVD Dictionary Training MATLAB Program using Orthogonal Matching Pursuit (OMP) Algorithm for Sparse Signal Representation
This project covers chaos identification, calculation of chaotic characteristic exponents, and chaos prediction, with MATLAB code implementations for key algorithms including Lyapunov exponent estimation and phase space reconstruction techniques.
The application of Kalman filtering in INS/GPS integrated navigation systems proves highly effective, offering robust sensor fusion through recursive state estimation algorithms that combine inertial measurements with global positioning data.
Snake Algorithm or Active Contour Models are image segmentation techniques requiring an initial contour input that iteratively deforms along energy minimization directions to converge toward optimal boundaries. Implementation typically involves calcu
Reliable and executable algorithms for porous media analysis, complete with implementation-ready code examples and practical applications.
In-depth Exploration of MUSIC Algorithm Series: Part 2 - Noise Subspace Method with Implementation Insights