Bayesian Tool Based on Markov Chain Monte Carlo Theory
This program implements Bayesian inference tools based on Markov Chain Monte Carlo theory, specifically MCMC Methods for MLP and GP and Stuff (for MATLAB) Version 2.1
Direct Torque Control of Permanent Magnet Synchronous Motors
Direct Torque Control for Permanent Magnet Synchronous Motors, compatible with MATLAB R2010a and later versions
Chaos Theory Toolbox for MATLAB
MATLAB Chaos Theory Toolbox Version 2.0 - A comprehensive and powerful toolkit for chaos analysis, modeling, and algorithm development.
Several Versions of EMD Algorithms Collected by the Author
This collection includes three versions of the Empirical Mode Decomposition (EMD) algorithm implementations: EMD2002, EMD2005, and EMD2007. These implementations provide valuable resources for researchers studying EMD algorithms, featuring different optimization approaches and computational improvements across versions.
PID Control Module Implementation and Simulation
PID Control Module with SIMULINK Simulation Built on MATLAB 7.0 Platform
MATLAB Simulation of Frequency-Selective Channel Models Across Different Versions
MATLAB simulations of various frequency-selective channel model implementations, accompanied by comprehensive theoretical documentation in Word format with code implementation guidelines and channel modeling approaches
Permanent Magnet Synchronous Motor Speed Control Using SVPWM Technique
SVPWM-based speed control system for permanent magnet synchronous motors, compatible with MATLAB version 7.0 and above, featuring PWM waveform generation algorithms and motor control implementation
Collection of Particle Filter Source Code
A comprehensive collection of particle filter implementations featuring various versions including PF (Standard Particle Filter), RPF (Regularized Particle Filter), EKFPF (Extended Kalman Filter Particle Filter), APF (Auxiliary Particle Filter), and more.
Empirical Mode Decomposition Algorithm: The 2007 Version by French Researchers
The 2007 version of the French-proposed EMD algorithm features mirror extension boundary handling and demonstrates robust performance, using iterative sifting processes to decompose signals into intrinsic mode functions.
Partial Least Squares Toolbox
Eigenvector's Partial Least Squares Toolbox - Version 3.0. Standalone/no installation required. Includes PLS regression, discriminant analysis, and multivariate calibration algorithms with MATLAB-compatible functions.