Explore MATLAB source code curated for "识别" with clean implementations, documentation, and examples.
A comprehensive face recognition system implementation featuring image processing, recognition algorithms, and reconstruction capabilities. Includes detailed code explanations for key functions and processing methods.
This is my graduation project implementation of DLDA featuring both training and recognition modules. The algorithm demonstrates exceptional speed and achieves high recognition accuracy through optimized deep learning architecture.
This project implements Principal Component Analysis (PCA) for facial feature extraction and employs Support Vector Machine (SVM) multi-class classifier for face recognition, complete with an intuitive user interface for image input and processing.
Implementation of eigenfunction-based tensor decomposition algorithms including Levenberg-Marquardt (LM), Alternating Least Squares (ALS) and other optimization methods, primarily designed for underdetermined MIMO system identification with modular code structure for parameter tuning and performance enhancement.
Comprehensive PDF documentation and MATLAB source code for speech collection and recognition, focusing on fundamental characteristics including timbre, pitch, and tone, with detailed algorithm implementations
A compact MATLAB-based computer simulation program designed for color identification and segmentation tasks
Formant extraction technique using LPC linear prediction for speech signals is crucial for speech recognition and synthesis systems, involving key algorithms like autocorrelation analysis and root solving of prediction polynomials.
Source code for digital modulation recognition of communication signals, implementing six common modulation types with comprehensive signal processing algorithms
Classification and identification techniques for SAR imagery with MATLAB implementation
A collection of MATLAB toolbox functions implementing video-based face detection and recognition algorithms with enhanced code implementation details