Explore MATLAB source code curated for "运行" with clean implementations, documentation, and examples.
Comprehensive time-frequency analysis software featuring WVD and multiple pseudo-WVD implementations. Essential for running example programs from Hu Guangshu's "Modern Signal Processing Tutorial" with enhanced code-based algorithm descriptions and signal processing capabilities.
This is a comprehensive LDPC-OFDM simulation code suite that is fully executable and generates Bit Error Rate (BER) performance plots as output, featuring complete implementation of encoding, modulation, and decoding processes.
Particle Swarm Optimization effectively enhances system performance and efficiency with robust implementation capabilities
This project implements SIFT (Scale-Invariant Feature Transform) feature extraction for images, containing comprehensive usage documentation and ready-to-run compiled versions. The source code is available in both Matlab and C implementations, delivering robust feature detection performance with good practical results.
This MATLAB-based implementation demonstrates video tracking using the frame difference method, including a test video sample and comprehensive documentation. The provided code and resources are ready-to-run in MATLAB environment for immediate experimentation.
Utilizing the Field II simulation software, this implementation models dynamically focused ultrasound phased array imaging. The simulation is contained within a single main function that can be directly executed within the Field II environment, requiring no additional setup or dependencies. This approach efficiently captures the core beamforming and focusing algorithms used in ultrasound imaging systems.
Implementation of image segmentation using the EM algorithm with working code. The code is concise and clear, making it ideal for beginners to understand probabilistic clustering approaches in computer vision.
This code package provides working implementations of OFDM modulation/demodulation and channel estimation algorithms, accompanied by comprehensive documentation with step-by-step program guidance.
Implementation of image defogging based on multi-scale Retinex algorithm. Code is tested and ready to run, effectively removing haze while preserving original image colors through multi-scale Gaussian filtering and color restoration techniques.
An efficient, ready-to-run HMM-GMM code implementation complete with speech datasets. This beginner-friendly example contains no technical barriers and provides clear insights into hidden Markov models combined with Gaussian mixture models for speech processing applications.