A Beamforming Implementation
A coursework project implementing beamforming algorithms with practical code examples and technical explanations
Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
A coursework project implementing beamforming algorithms with practical code examples and technical explanations
A wavelet denoising program downloaded from the internet that demonstrates practical application of wavelet theory for image noise reduction using wavelet transform techniques
This program implements PID control tuned using an improved BP neural network for parameter adjustment, featuring enhanced learning algorithms and adaptive tuning capabilities.
This MATLAB-based program implements handwritten digit recognition using pattern recognition techniques, enabling users to identify and classify numerical characters through pixel analysis and feature extraction.
A MATLAB-based wavelet image compression program developed in 2008, featuring excellent performance suitable for experimental use. This implementation demonstrates practical wavelet transform techniques for efficient image compression.
This program implements Principal Component Analysis (PCA) for face recognition with comprehensive code comments. It provides an excellent starting point for beginners in facial recognition technology, featuring detailed explanations of algorithmic steps and implementation approaches.
This collection includes five programs that demonstrate different fuzzy clustering methods and their implementation steps for handling fuzzy data, each derived from authoritative international research papers with detailed code explanations.
HOUGH line detection design program implementing the following features: (1) Reading input images (binary/black-white images) for detection; (2) Outputting Hough transform results; (3) Generating detected specific line images. The program includes edge detection preprocessing and parameter optimization for robust line identification.
Develop a MATLAB program to solve pseudorange positioning equations, process actual measurement data, and compute receiver position and clock bias. The provided dataset includes two sets of 8-channel data where X, Y, Z represent satellite coordinates in WGS-84 coordinate system, and Range corresponds to corrected pseudorange measurements. Key implementation involves linearization techniques and iterative least-squares algorithms.
Programs and explanations for several fundamental algorithms in mathematical modeling using MATLAB mathematical software