Explore MATLAB source code curated for "程序包" with clean implementations, documentation, and examples.
Partial Least Squares (PLS) regression is widely applied across numerous domains. This package provides a comprehensive function implementing PLS regression using the Nonlinear Iterative Partial Least Squares (NIPALS) algorithm, accompanied by detailed tutorial materials explaining the algorithm's mechanics and practical implementation.
A comprehensive SVM package for MATLAB with wide-ranging applications in data mining, pattern recognition, and AI, featuring robust implementations for classification and regression tasks.
An optimization algorithms package featuring Levenberg-Marquardt (LM) method, Smart-Quart technique, and other advanced optimization approaches with comprehensive code implementation.
Curvelet Transform Toolbox with test images. Please respect the intellectual property and work of developers.
An order analysis toolkit package designed for non-stationary signal feature extraction, providing efficient algorithms and implementations for frequency-amplitude characteristic analysis.
This package implements a particle swarm optimization algorithm to find minimum and maximum values of 16 classical test functions, featuring an intuitive user interface with real-time dynamic 2D visualization that demonstrates how particle swarms navigate the search space to converge toward optimal solutions
CEEMDAN is an improved algorithm over EMD and EEMD, featuring subroutines and test examples in this package that are ready to run, with enhanced code implementation details for signal decomposition applications.
This research investigates a hybrid approach combining Contourlet transform and fractal compression techniques for remote sensing image processing, demonstrating practical applicability with experimental images included in the software package. Implementation involves multi-directional decomposition and iterative affine transformations for efficient image coding.
This package implements Hilbert Transform functionality, thoroughly validated for correct operation. May be useful for signal processing applications. The extraction password is "cet".
This package implements the Unscented Particle Filter algorithm, which differentiates from standard particle filters by utilizing UKF (Unscented Kalman Filter) to approximate the proposal distribution function for enhanced estimation performance.