K-Means Clustering Algorithm
K-means clustering algorithm for data cluster analysis with applications such as key frame extraction. Implemented using MATLAB with code examples including centroid initialization and convergence criteria.
MATLAB Implementation of AdaBoost-Based Face Detection Algorithm
This project provides a MATLAB implementation of a face detection algorithm utilizing the AdaBoost method, offering valuable insights for developers working on computer vision applications with feature selection and classifier training processes.
LPC Linear Predictive Coding MATLAB Implementation with Data and Speech Files
MATLAB implementation of Linear Predictive Coding (LPC) featuring original data files and synthesized speech output. The well-structured code demonstrates core LPC algorithms through clear voice analysis and synthesis procedures, making it ideal for speech processing education and research.
Fuzzy C-Means Clustering Algorithm Implementation and Analysis
MATLAB implementation of the Fuzzy C-Means clustering algorithm with comparative analysis of classical program variations
MATLAB Implementation of K-Means Clustering Algorithm
K-means clustering algorithm implemented in MATLAB - performs data classification by accepting the number of clusters as input parameter with detailed code explanation
Medoid Shift: An Unsupervised Clustering Algorithm for Image Segmentation
Medoid Shift is an unsupervised clustering algorithm, similar to k-means but applicable to broader fields. It can be used for image segmentation and other applications, with a MATLAB implementation provided. The source code offers insights into key functions like distance computation and medoid updating, making it accessible for researchers and developers.
MATLAB Implementation of Image Segmentation Using Snake Model
MATLAB implementation of image segmentation based on the snake model algorithm, featuring energy minimization techniques and iterative boundary optimization with code examples for medical imaging and computer vision applications.
PCA Algorithm Implementation in MATLAB
MATLAB implementation of PCA algorithm for dimensionality reduction, suitable for various applications including facial recognition systems with detailed code explanation
Signal and System Analysis with MATLAB Implementation
Complete source code collection from the book "Signal and System Analysis with MATLAB Implementation", featuring high practical value with ready-to-run examples covering core algorithms and signal processing techniques.
Traditional Synthesis Methods for Antenna Array Pattern Design
MATLAB implementation of traditional antenna array pattern synthesis methods, providing foundational understanding of array pattern synthesis techniques through practical code examples and algorithm demonstrations.