MATLAB Code Implementation for Particle Filtering
Detailed implementation of particle filtering with comprehensive explanations! Beginners can easily understand the concepts through practical code examples and algorithmic breakdowns.
Professional MATLAB source code with comprehensive documentation and examples
Detailed implementation of particle filtering with comprehensive explanations! Beginners can easily understand the concepts through practical code examples and algorithmic breakdowns.
Custom-written program implementing the Unscented Transformation component for Unscented Kalman Filter (UKF) applications
Gaussian rough surface generation algorithm - an essential algorithm for scattering simulations and computational modeling, with implementation insights and practical applications
Implementation of a line contact isothermal elastohydrodynamic lubrication calculation using the Newton-Raphson method, with pressure and film thickness curve plotting capabilities
MATLAB simulation source code for model identification, featuring implementations of least squares modeling and maximum likelihood estimation modeling methods. Each key code example includes detailed explanations and algorithm descriptions.
Complete FDTD (Finite-Difference Time-Domain) algorithm implementations spanning one-dimensional to three-dimensional simulations, featuring various scatterer geometries. The package includes MATLAB-coded examples demonstrating electromagnetic wave s
Compressive sensing code developed in MATLAB programming environment, featuring clear structure and implementation details including key algorithms and function descriptions for efficient signal reconstruction.
This MATLAB-based program implements an algorithm to compute optimal Hamiltonian circuits with enhanced computational efficiency and practical applications.
Implementation of Basis Pursuit algorithm using DCT basis for reconstructing original signals in compressed sensing framework, featuring sparse signal recovery through optimization techniques
Toolboxes for EKF, UKF, and other filtering algorithms - highly practical and suitable for beginners, intermediate, and advanced users, featuring comprehensive function libraries and configurable parameters for robust implementation.
K-Means clustering algorithm implementation (MATLAB 2019a compatible), tested and fully functional. Includes detailed code description and practical application examples.
This MATLAB code implements a tracking loop for GPS software receivers, providing fundamental GPS signal tracking functionality with phase-locked loops, frequency-locked loops, and code-locked loops.
Kalman filter program implementation focusing on information fusion applications with code-specific technical descriptions
GP Algorithm: Simply import one-dimensional time series data for computation. This self-developed implementation has proven highly effective!
The Recursive Least Squares (RLS) algorithm, originally proposed by the renowned mathematician Gauss in 1795, represents a classical data processing methodology. Gauss established that when inferring unknown parameters from observed data, the most pr
Directly Callable Lagrange Interpolation Function for MATLAB
MATLAB implementation for solving the L1-regularized least squares problem: min lambda*||x||_1 + ||A*x - y||_2, where ||x||_1 denotes the L1-norm and ||*||_2 represents the L2-norm. This algorithm is widely used in sparse component analysis, compress
A path planning approach based on threat probability maps that first constructs a probabilistic threat model and then employs the A-star algorithm for optimal path search with implementation details.
MATLAB program for GPS precise ephemeris satellite orbit interpolation utilizing Chebyshev polynomial fitting method. Directly execute the chebshev2.mat file to run the algorithm, with results automatically saved in document2.mat for analysis.
Simulation of wind turbine control systems integrating fuzzy logic and variable structure control to optimize turbine performance, featuring algorithm implementation and robustness enhancement strategies.