Explore MATLAB source code curated for "算法原理" with clean implementations, documentation, and examples.
MATLAB algorithm for Probabilistic Latent Semantic Analysis (pLSA) featuring comprehensive test datasets and detailed theoretical explanations. The implementation demonstrates how this probabilistic model uncovers semantic relationships in text data through latent topic modeling, with extendable applications in image analysis.
MATLAB learning program for Extended Kalman Filter featuring simple implementation with customizable input parameters for intuitive algorithm understanding and practical demonstration.
This is my MATLAB implementation of an adaptive histogram equalization algorithm designed to enhance image details, combining the advantages of detail-enhancing adaptive histograms and traditional histogram equalization techniques. The program includes comprehensive algorithm explanation and demonstrates practical implementation using MATLAB's image processing toolbox functions like adapthisteq() with customized parameter settings for optimal contrast enhancement.
MATLAB learning program for particle filters featuring straightforward implementation with configurable parameters, designed to facilitate understanding of algorithm principles through practical code examples.
This MATLAB program implements the LANDMARC positioning algorithm through simulation, featuring calculations of weighting factors, k-values, and error analysis based on the algorithm's core principles.
Original implementation of non-local means denoising algorithm with enhanced understanding of algorithmic principles and practical code implementation details
A simple implementation for cyclic prefix OFDM synchronization, with clear algorithm principles that are easily understandable for those familiar with OFDM synchronization techniques. Includes practical code considerations for signal processing implementation.
MATLAB-based higher harmonics detection module with simulation implementation using ip-iq algorithm methodology
k-medoids Network Community Clustering with User Manual and Algorithm Principles
Master the algorithmic principles and implementation steps of image equalization processing, analyze the results of image equalization, gain proficiency in MATLAB's built-in functions for histogram equalization, and learn to code the algorithm manually in MATLAB.