MATLAB Implementation of Automatic Threshold Segmentation
Automatic threshold segmentation implemented in MATLAB with two .m files for reference and learning purposes.
Explore MATLAB source code curated for "学习" with clean implementations, documentation, and examples.
Automatic threshold segmentation implemented in MATLAB with two .m files for reference and learning purposes.
Reference materials for studying MIMO antenna selection algorithms, including implementation approaches and key performance considerations.
The RD algorithm stands as one of the most fundamental correction techniques in SAR imaging, featuring thoroughly commented implementation code with detailed explanations for optimal learning and practical application.
A complete audio watermarking example based on Discrete Wavelet Transform (DWT) that demonstrates watermark embedding and extraction algorithms, including frequency sub-band decomposition and coefficient manipulation techniques.
MATLAB source code implementation of QPSK modulation with Costas loop carrier synchronization, providing a practical reference for learning communication principles including modulation and demodulation techniques.
MATLAB Neural Network Application Design: Complete source code examples from the book! Ideal for learning neural network implementation with practical coding demonstrations.
This program implements MIMOSAR (Multi-Input Multi-Output Synthetic Aperture Radar) imaging, currently a trending topic in multi-channel SAR research. Designed for educational purposes, it demonstrates key algorithms including waveform diversity processing, channel calibration, and advanced beamforming techniques for high-resolution imaging.
This resource provides comprehensive simulations and design implementations of interference alignment algorithms for 3-user communication systems, offering essential learning materials for those studying interference alignment techniques. The implementation includes MATLAB/Python code examples demonstrating precoder design, interference subspace management, and signal processing techniques.
This undergraduate image processing assignment provides MATLAB implementation of threshold-based image segmentation along with detailed lab report. Ideal for beginners learning fundamental image processing techniques, featuring algorithm explanations, code demonstrations, and result analysis.
A comprehensive MATLAB-based filter analysis of speech signals, demonstrating practical implementation techniques including spectral analysis, time-domain processing, and frequency component extraction using built-in filter design functions - highly beneficial for learning digital signal processing applications.