SVM Classification Code for Wine Category Testing
Support Vector Machine classification implementation for red wine category prediction with feature analysis
3D Reconstruction MATLAB Code with Feature Detection and Matching Implementation
This file contains comprehensive data and results for feature point detection and matching in 3D reconstruction, utilizing standard images from computer vision libraries with detailed algorithm implementations.
Fourier Transform Implementation and Applications
Fourier Transform Code Reference and Implementation Guide
Correlation Function for Cyclostationary Processes
This concise correlation function implementation for cyclostationary processes provides excellent learning material for beginners, featuring straightforward code structure and clear algorithm implementation.
M-K Analysis Code for Trend Detection and Change Point Identification
Comprehensive M-K analysis implementation featuring trend detection and change point testing algorithms, with easily customizable data input for various analytical applications
MATLAB-based HMT (Hidden Markov Tree) Model Parameter Training Code
Master function for HMT parameter training code implementation in MATLAB environment
Time-Frequency Distribution Processing in MATLAB with Complete Implementation
This repository contains comprehensive MATLAB code for time-frequency distribution processing, featuring multiple analysis techniques and windowing functions for signal processing applications.
Multi-Dimensional Scaling (MDS) Algorithm Implementation
This code implements Multi-Dimensional Scaling (MDS), a dimensionality reduction technique suitable for feature extraction, feature selection, and matrix dimension reduction applications.
Kalman Filter Implementation in GPS Applications
This code generates three distinct estimated values based on three different scenarios, utilizing Kalman filtering techniques for GPS data processing.
Nearest Neighbor and K-Nearest Neighbors with K=1
K-Nearest Neighbors algorithm implementation with k=1 (nearest neighbor) in MATLAB environment, including code examples and practical demonstrations for machine learning applications.