Computing Wavelet Entropy for One-Dimensional Vectors
Calculate wavelet entropy for 1D vectors using a pre-configured function file that provides direct callable implementation with configurable wavelet parameters and entropy calculation methods
MATLAB Implementation of Adaptive Threshold Algorithm
Writing and calling an adaptive threshold function in MATLAB with code implementation details
Mallat Wavelet Fast Algorithm Implementation
Detailed implementation of Mallat wavelet fast algorithm with fully modularized functions for easy integration and calling.
Performing Image Decomposition Using 2D Wavelet Decomposition Functions
Implementing image decomposition by calling 2D wavelet decomposition functions and visualizing the resulting pyramidal structure of decomposed images
Standard Backpropagation Neural Network Algorithm with Momentum and PSO Optimization
Standard BP neural network algorithm implementation featuring momentum BP algorithm and PSO-optimized neural network using TRAINGDX training method. The code includes neural network training routines with gradient descent optimization techniques.
Leveraging MATLAB Resources in VC Environments
This article demonstrates how to utilize MATLAB resources within Visual C++ (VC) through a practical example showing the integration and invocation of custom .m files in VC projects, including engine initialization and data exchange mechanisms.
Implementation of Co-occurrence Matrix and Feature Extraction Methods
Implementation of co-occurrence matrix and feature extraction methods with modular subroutines for individual feature vector extraction, designed for direct integration into other programs with optimized computational efficiency.
An Implementation of Standard Label Propagation Algorithm
A functional implementation of the standard label propagation algorithm, designed as a callable function for direct integration into data processing workflows.
Computing Renyi Entropy for One-Dimensional Vectors
This implementation calculates Renyi entropy for one-dimensional vectors and has been packaged as a header file for direct function calls, featuring probability estimation and entropy computation with configurable alpha parameters.