Powell Optimization Algorithm
This is a MATLAB implementation of the Powell optimization algorithm program.
Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
This is a MATLAB implementation of the Powell optimization algorithm program.
A comprehensive cooperative diversity communication system simulation package containing frequently used simulation programs that provides significant learning value for MIMO technology studies, with implementation examples of key algorithms and performance evaluation methods.
A sparse decomposition signal reconstruction program utilizing matching pursuit methodology to iteratively match signal components and ultimately reconstruct the original signal through optimized atom selection and combination.
A straightforward median filtering algorithm with concise and comprehensible MATLAB code, designed for efficient image noise reduction
A high-performance homomorphic filtering program I developed, featuring robust image processing capabilities with detailed code implementation insights
This program implements the classical Aihara chaotic neural network model with detailed code structure and algorithmic explanations
A MATLAB program for Support Vector Machine implementation capable of performing both classification and regression tasks. This method demonstrates superior performance compared to neural networks while avoiding the curse of dimensionality, making it an excellent modeling approach for high-dimensional datasets.
This image stitching program effectively combines multiple images into seamless panoramas, featuring robust algorithms for feature detection, matching, and blending operations
This is a robust stock prediction program utilizing neural networks, featuring high accuracy, powerful predictive capabilities, and excellent curve-fitting performance for identifying market patterns
Implementation of image fusion program utilizing Laplacian pyramid algorithm, requiring MATLAB version newer than MATLAB 2009 for optimal performance.