Explore MATLAB source code curated for "应用" with clean implementations, documentation, and examples.
This is a MATLAB-based code primarily designed for mechanical problems involving rectangular bodies. It calculates main body forces and employs the finite element method to solve for stress, strain, and displacement at each node.
Application of Elman Neural Network in Electric Power Load Forecasting Models with Code Implementation Insights
Simulation of RS Channel Coding in Communication Principles using MATLAB - A practical approach with code implementation details for enhanced understanding
Implementing image compression via singular Value Decomposition helps beginners understand practical applications of SVD with code implementation insights and algorithm explanations
SVPWM Program for the Development and Application of Three-Phase Induction Motor Frequency Converters - Implementation of Space Vector Pulse Width Modulation Algorithm with Voltage Vector Sector Identification and PWM Signal Generation
Voice Activity Detection (VAD) serves as a fundamental technology in speech recognition with extensive applications across both commercial and civil domains. Accurate endpoint detection becomes particularly challenging in low signal-to-noise ratio (SNR) environments, especially during silent segments or transitional periods before and after phonation.
Simulation source code for adaptive filter design methods from Xidian University graduate English textbook Digital Signal Processing (Part 2). Self-developed implementation with verified correctness, applicable to various signal processing scenarios and beyond.
Node localization in wireless sensor networks achieved through direct ranging using received power measurements, implementing the RSSI (Received Signal Strength Indicator) algorithm for distance estimation and positioning.
The Split-Step Fourier Method is a highly effective technique for solving nonlinear Schrödinger equations, widely used across multiple disciplines with robust numerical implementation
Application of SVM Support Vector Machine in image segmentation, including MATLAB source code and key SVM functions implementation. The code demonstrates feature extraction, model training, and pixel classification techniques for effective image region separation.