Explore MATLAB source code curated for "算法" with clean implementations, documentation, and examples.
MATLAB-based algorithms for 1D to 3D transformation featuring various scatterer shapes, implemented with numerical computation methods including forward modeling and inverse reconstruction techniques
MATLAB implementation of CMA+DDLMS (Constant Modulus Algorithm + Decision-Directed Least Mean Square) algorithm for blind equalization of 16-QAM signals, featuring adaptive filter coefficient updates and constellation recovery capabilities.
MATLAB source code for KNN (k-Nearest Neighbors) classifier algorithm with comprehensive implementation details - ideal for learning machine learning fundamentals
Insights on voice enhancement algorithms, including spectral subtraction adaptive filtering, auditory masking effects, and other techniques for improving speech signal quality.
Image matching algorithm based on cross-correlation enables precise matching by calculating similarity through pixel-level comparison and correlation analysis
Implementation of cross-power spectrum based time delay estimation algorithm with detailed simulation results visualization through comprehensive plotting functions
Excellent research paper and corresponding source code on reactive power optimization planning in power system distribution networks. Reactive power optimization is an effective method to ensure safe and economical operation of distribution networks, serving as a crucial measure for reducing network losses and improving voltage quality. This study addresses the complex nonlinear combinatorial optimization problem of distribution system planning using Tabu Search algorithm with code implementation focusing on fixed shunt capacitor placement for reactive power compensation.
Implementation of the classic c-means algorithm in artificial intelligence with MATLAB matrix-based data storage, offering superior efficiency compared to VC implementations
An upgraded version of Wu Yufei's Turbo code research program that integrates core Turbo code algorithms with advanced computational approaches, providing an efficient simulation environment for rapid learning and performance analysis
This tested and fully functional DOA MUSIC algorithm implementation corresponds to the simulation program on page 110 of Wang Yongliang's "Spatial Spectrum Estimation Theory and Algorithms". The code features proper array signal processing implementation, including covariance matrix computation, eigenvalue decomposition, and pseudospectrum calculation using the MUSIC algorithm's core principles.