Explore MATLAB source code curated for "程序实现" with clean implementations, documentation, and examples.
This program implements baseband FM modulation and demodulation with comprehensive code comments and verification. It helps understand baseband signal processing methods through practical implementation examples.
This program implements road extraction algorithms for remote sensing images, featuring advanced image processing techniques suitable for professional target extraction tasks in remote sensing applications.
Support Vector Machine serves as an innovative regression method, particularly effective for nonlinear patterns. This implementation provides nonlinear regression capabilities using SVM with kernel functions and optimization algorithms to handle complex data relationships.
This program implements 3D visualization of Gabor filters and demonstrates their application through frequency-domain convolution on an image, featuring 1 scale and 6 different orientations with algorithmic implementation details
Implementation of sparse subspace clustering algorithms with MATLAB source code, accompanied by corresponding research papers discussing methodology and computational approaches.
This program implements image segmentation techniques including block processing, convex hull operations, and image partitioning. Essential for computer vision and image processing enthusiasts, featuring detailed code explanations and algorithm implementations.
MATLAB implementation of the MVDR spectrum estimation algorithm for power spectrum analysis with enhanced computational efficiency and directional signal processing capabilities.
Program implementation of SVD-TLS based ESPRIT method for harmonic retrieval, featuring simulation experiments on signal harmonic recovery with analysis of algorithm performance and comparison metrics
In Cognitive Radio (CR) networks, energy detection serves as the most fundamental and critical component. This program implements the energy detection algorithm with threshold-based signal identification and noise power estimation.
Fingerprint recognition program implementing key stages including image binarization, ridge thinning, and minutiae feature extraction with algorithm explanations.