Iris Recognition Matching Component
This iris recognition matching component is obtained from MATLAB's official website shared files, providing reference implementation for pattern matching algorithms in biometric systems.
Explore MATLAB source code curated for "文件" with clean implementations, documentation, and examples.
This iris recognition matching component is obtained from MATLAB's official website shared files, providing reference implementation for pattern matching algorithms in biometric systems.
Face recognition implementation based on PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis). The main function loads image files, applies preprocessing techniques, executes the face recognition algorithm with dimensionality reduction, and generates performance accuracy plots.
This file provides MATLAB implementation of color histogram feature extraction for image retrieval applications. The code demonstrates fundamental techniques in computer vision and digital image processing, offering a comprehensive approach to color feature analysis with examples of feature matching implementations.
This file contains complete TPC (Turbo Product Code) encoding and decoding programs, including Chase decoding algorithm implementation with detailed code structure explanations.
Verified Viterbi decoder MATLAB program with comprehensive documentation and supporting files for communication system applications
This file contains a highly practical QPSK bit error rate simulation implementation, featuring comprehensive channel modeling and performance analysis. Essential for digital communication system design and evaluation!
A comprehensive MATLAB program for voice activity detection, featuring complete source files, thoroughly debugged and fully functional
DES encryption algorithm implementation featuring a customizable GUI for file selection, output path configuration, and flexible key management. The system allows users to specify encryption parameters through interactive controls.
An intuitive track initiation program for radar target tracking, consisting of two MATLAB files: simutrack.m and main.m. The simutrack.m file handles target trajectory simulation, while main.m serves as the main program driver. The implementation demonstrates fundamental track initiation principles through simulated radar returns and target motion models.
LDPC codes and implementation files offering comprehensive resources for digital vision professionals, including algorithm explanations and practical coding examples