Cyclostationary Toolbox
Cyclostationary Toolbox provides comprehensive guidance on usage methodologies along with extensive program code examples for practical implementation
MATLAB Implementation of Newton's Iteration Method for Nonlinear Equations
Newton's iteration method for solving nonlinear equations with detailed implementation approach and algorithmic explanation. Usage instructions are provided within the code structure.
Usage Methods of Cell Arrays
Implementation Approaches for Cell Arrays with Code Examples
Powell Algorithm Implementation in MATLAB with Code Optimization Details
This file provides a complete MATLAB implementation of the Powell optimization algorithm, including comprehensive usage instructions and code structure explanation for numerical optimization problems.
Principles and Implementation Methods of FIR Filters
1. Understand FIR filter principles and implementation approaches including filter design specifications and parameter selection. 2. Master MATLAB-based FIR filter design techniques using built-in functions like fir1() and firls(). 3. Learn DSP programming methodologies for FIR filter implementation with optimized algorithms and real-time processing considerations.
LIBSVM (SVM Program Developed by Taiwan University Professor) Usage Guide
Comprehensive guide on using LIBSVM (a Support Vector Machine program created by Taiwan University professors), covering data preprocessing, data import, model training, and prediction with code implementation examples
EEMD Programs and Research Papers
Comprehensive EEMD programs and research papers, including detailed usage methods, complete functionalities and tools for signal analysis and processing applications
Partial Least Squares Algorithm Implementation in MATLAB
MATLAB implementation of Partial Least Squares algorithm with comprehensive code documentation. Simply copy files to MATLAB directory for immediate use. Includes detailed function descriptions, parameter explanations, and usage examples within the code comments.
Introduction to Particle Swarm Optimization Toolbox and Guide to Implementation
Overview of MATLAB's Particle Swarm Optimization Toolbox with practical implementation guidance and code integration techniques
Comprehensive Guide to Using Self-Organizing Maps (SOM) in MATLAB with Practical Implementation
A detailed tutorial on implementing Self-Organizing Maps (SOM) in MATLAB, featuring step-by-step annotated examples with supporting visualizations, enabling rapid skill acquisition and practical mastery