Signal Analysis Application Developed with MATLAB GUI
A compact signal analysis tool built using MATLAB GUI framework, designed to facilitate GUI learning through practical implementation examples with signal processing algorithms.
Explore MATLAB source code curated for "开发" with clean implementations, documentation, and examples.
A compact signal analysis tool built using MATLAB GUI framework, designed to facilitate GUI learning through practical implementation examples with signal processing algorithms.
A comprehensive MATLAB-based toolkit for MRI image analysis, processing, and visualization with advanced algorithms and code implementations.
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
Color Segmentation - VIBGYOR Color Segmentation. This MATLAB function performs spectral segmentation of RGB images using the VIBGYOR color spectrum, enabling precise color isolation through threshold-based segmentation techniques. Developed on July 14, 2008 by K.Kannan & Jeny Rajan.
A comprehensive GSM physical layer simulation developed in MATLAB, implementing complete L1 algorithms including channel coding/decoding, GMSK modulation/demodulation, Viterbi equalization, accompanied by detailed documentation with code implementation insights.
A comprehensive wind turbine model developed in MATLAB environment, featuring modular architecture and customizable parameters for performance simulation
Essential tools and libraries required for developing vibration-related simulations in MATLAB, including code implementation approaches and key functionality.
A MATLAB-based manifold learning toolbox featuring implementation of core algorithms and comprehensive user documentation
The developed exponential smoothing method is designed for short-term load forecasting and has been implemented in practical engineering applications.
HEED protocol code developed using MATLAB for wireless sensor networks, featuring energy-efficient clustering algorithms with detailed implementation examples