Explore MATLAB source code curated for "实例" with clean implementations, documentation, and examples.
This collection presents 30 practical neural network case studies with complete MATLAB source code, featuring diverse implementations including backpropagation algorithms, data preprocessing techniques, and network architecture configurations for real-world applications.
Frequency domain image enhancement with multiple working examples, successfully debugged and verified in MATLAB environment. Includes practical code implementations demonstrating various enhancement techniques.
Comprehensive Explanation of MATLAB Genetic Algorithm Toolbox Functions with Implementation Examples and Code Descriptions
Latest Least Squares Support Vector Machine Toolbox with comprehensive user manual, featuring detailed explanations and practical implementation examples
Provides source code and practical examples for implementing Ultra-Wideband (UWB) using Orthogonal Frequency Division Multiplexing (OFDM). The complete system architecture includes signal source generation, channel modeling, and receiver processing modules. Features well-designed interfaces for easy integration and learning, with comprehensive implementation covering key algorithms such as IFFT/FFT operations, cyclic prefix insertion, and channel equalization techniques.
A Practical Guide to Wavelet Analysis: Complete workflow for analyzing 1D signals with Continuous Wavelet Transform (CWT), featuring concrete implementation examples, algorithm explanations, and code descriptions. Highly valuable reference for signal processing applications!
MATLAB license plate recognition program source code with working examples for reference and study.
A practical implementation example of fractional order systems, providing MATLAB code for fractional Fourier transform computation and demonstrating its application in power spectrum analysis
MATLAB programming example for SQP algorithm, including a QP subroutine implementation with practical optimization techniques and parameter tuning guidance.
The Alpha-Beta filter is a simplified version of the Kalman filter that offers faster computational performance. This implementation demonstrates core filtering concepts with practical code structures for state estimation.