MATLAB Implementation of Block Matching Algorithm
MATLAB Implementation of Block Matching Algorithm with Code Optimization and Function Analysis
Erlang Formula Implementation in MATLAB
MATLAB implementation of Erlang formula with multiple operational mode simulations
MATLAB Implementation of Discrete Cosine Transform Compression Program
This MATLAB implementation of a compression program using Discrete Cosine Transform demonstrates practical image compression techniques. You can test it with different parameters to observe various compression results and learn about DCT applications in digital signal processing.
Face Detection and MATLAB Implementation
Modern information society demands higher requirements for accuracy, security, and practicality in identity authentication. Traditional identification methods can no longer meet these demands, while the rich physiological and behavioral characteristics of humans provide a reliable solution that has attracted widespread attention from international academia and industry. Biometric recognition is a technology that identifies individuals based on their physiological features (such as fingerprints, facial images, iris patterns) and behavioral characteristics (such as handwriting, voice, gait). In recent years, with continuous advancements in pattern recognition, image processing, and information sensing technologies, biometric recognition demonstrates even broader application prospects. It is worth noting that other biometric methods like fingerprint, voice, and iris recognition require active cooperation from subjects to achieve identification purposes, whereas face recognition overcomes this limitation and has become a major research focus. The implementation typically involves image preprocessing, feature extraction algorithms (such as Haar cascades or deep learning-based approaches), and classification methods to achieve accurate detection.
MATLAB Implementation of PLS_TOOLBOX
An absolute classic, this feature-rich MATLAB toolbox for Partial Least Squares (PLS) was originally developed by international researchers and remains widely used for multivariate analysis.
Spatial Difference Analysis Based on Variogram Principles in Geostatistics
Difference analysis grounded in spatial variation principles for geostatistical applications - an excellent resource for spatial analysis with MATLAB implementation. Features variogram modeling algorithms and interpolation techniques.
Grey Prediction and its MATLAB Implementation
Grey Prediction Methodology and MATLAB Implementation with Algorithmic Explanations
Hough Transform for Line Detection
MATLAB implementation of Hough transform for line detection, including peak detection, line identification, and line linking techniques
Image Compression Using Wavelet Transform with MATLAB Implementation
Implementing image compression with wavelet transforms, focusing on algorithm selection, compression ratio optimization, and MATLAB code implementation techniques
MATLAB Implementation of K-S Test for Nonparametric Testing
Implementation of the Kolmogorov-Smirnov (K-S) test in MATLAB for nonparametric statistical analysis