MATLAB Implementation of Cloud Model with Practical Examples
Comprehensive MATLAB implementation of cloud models featuring detailed code examples and algorithm explanations
Generating Random Graphs for Complex Networks in MATLAB
Two Strategies for Generating Complex Network Random Graphs in MATLAB with Code Implementation Approaches
MATLAB Probability and Statistical Computing
Application Background: As systems grow increasingly complex, various methods for predicting fault probabilities and statistical calculations have emerged. Using MATLAB software for programming and estimation has become more popular. We introduce 30 probability and statistical prediction methods with source code examples to help beginners practice and learn. Key Technology: When programming probability and statistical predictions in MATLAB, understanding prediction principles and establishing predictive models is essential. Beginners should practice fundamental methods like regression analysis and multiple nonlinear regression, gradually modifying code to master this skill.
Computation of Instantaneous Frequency Functions
Calculating instantaneous frequency functions, primarily used in time-frequency analysis with MATLAB implementation
Curve and Surface Fitting in MATLAB with Implementation Guide
Comprehensive guide to curve and surface fitting in MATLAB, accompanied by detailed theoretical documentation in Word format. Includes practical implementation using MATLAB's fitting functions, algorithm explanations, and step-by-step code examples for both beginners and advanced users.
LEACH Protocol MATLAB Simulation
LEACH (Low-Energy Adaptive Clustering Hierarchy) is an early classic protocol for wireless sensor networks that optimizes energy efficiency through adaptive hierarchical clustering. The protocol employs distributed cluster formation techniques and periodic cluster head rotation to evenly distribute energy consumption across network nodes. This repository provides multiple MATLAB implementations demonstrating cluster head election algorithms, energy consumption modeling, and network lifecycle simulations using probabilistic threshold calculations and round-based scheduling mechanisms.
MATLAB-Based Fruit Recognition Using Image Processing Techniques
Fruit image recognition implementation using MATLAB with comprehensive feature extraction and machine learning algorithms
Plotting Seismic Profiles
Create and customize seismic profiles in MATLAB with flexible parameter control and advanced visualization capabilities
MATLAB Program for Plotting Spectrum Diagrams
MATLAB spectrum plotting program supporting multiple waveform types and their frequency domain analysis
Monte Carlo Method Simulation with MATLAB Implementation
MATLAB-based Monte Carlo simulation with executable code implementation for financial, engineering, and physical applications