Explore MATLAB source code curated for "matlab源程序" with clean implementations, documentation, and examples.
This is the official MATLAB source code accompanying the English edition of "Smart Antennas for Wireless Communications," providing valuable guidance for researchers entering the field of smart antenna algorithms. The codebase includes comprehensive implementations of antenna array configurations, beamforming techniques, and adaptive algorithms, serving as practical reference material for algorithm development and optimization.
MATLAB source code for wavelet domain correlation-based denoising. Spatial correlation filtering utilizes inter-scale correlations among wavelet coefficients, particularly effective for high signal-to-noise ratio signals. Implementation includes wavelet decomposition, correlation analysis, and threshold-based filtering.
MATLAB source code implementing immune algorithm for solving nonlinear equation systems, featuring efficient optimization with practical application examples
MATLAB implementation of least squares fitting using matrix QR decomposition with enhanced algorithmic efficiency and numerical stability
A comprehensive MATLAB source code package covering various aspects of channel capacity analysis and channel estimation techniques
MATLAB source code for genetic algorithm implementation - an excellent resource featuring comprehensive examples and practical implementations
MATLAB source code implementation of spectral subtraction algorithm for speech enhancement.
Particle Swarm Optimization applied to the Knapsack Problem. Includes MATLAB source code implementation with detailed algorithm explanations, along with a comprehensive report analyzing the methodology, results, and algorithm performance. This represents a complete academic assignment demonstrating practical optimization techniques.
MATLAB source code implementation of one-dimensional maximum entropy method for grayscale image threshold segmentation, featuring complete algorithm implementation with entropy calculation and optimal threshold selection.
This MATLAB source code implements phase unwrapping algorithms for interferometric SAR data processing, providing core functionality for resolving phase ambiguities in radar interferometry measurements.