MATLAB Implementation of K-Means Clustering Algorithm
K-means clustering algorithm implementation in MATLAB, essential for students working on graduation projects with practical code examples and centroid initialization techniques
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
K-means clustering algorithm implementation in MATLAB, essential for students working on graduation projects with practical code examples and centroid initialization techniques
Reliable and accurate MATLAB program for Kalman filtering featuring comprehensive implementation with configurable parameters, visualization tools, and detailed documentation
MATLAB implementation of Kalman filtering for enhancing speech signals corrupted by white Gaussian noise, featuring effective noise reduction and signal restoration capabilities with satisfactory performance results.
MATLAB code implementation of a digital watermarking algorithm, fully tested and debugged, utilizing DCT (Discrete Cosine Transform) for enhanced robustness and performance
This project implements lane detection through color information clustering using MATLAB code, demonstrating image segmentation techniques for road region identification.
A straightforward and easy-to-understand FFT program written in MATLAB, with detailed code explanations and algorithm insights.
RAKE receiver implementation using MATLAB code. The implementation has been validated through comprehensive testing.
MATLAB code for microphone array speech enhancement combining beamforming and Wiener filtering techniques with detailed algorithm explanations
Implementation of QPSK modulation including transmission through Rayleigh and Gaussian channels, with Bit Error Rate (BER) calculation and comparative performance analysis
This program provides a fully functional Unscented Kalman Filter (UKF) implementation in MATLAB, featuring robust nonlinear state estimation capabilities validated through comprehensive testing and performance verification.