Explore MATLAB source code curated for "特征提取" with clean implementations, documentation, and examples.
Feature extraction of EEG slow-wave P300 signals using multi-resolution wavelet transform, including algorithm implementation and code-oriented signal processing techniques.
Implementation of a speaker recognition system using vector quantization in MATLAB environment for real-time identification of 1-second to 7-second speech samples from different speakers, enabling text-independent automatic speaker verification with detailed code implementation procedures and algorithm descriptions.
MATLAB source code implementing PCA for feature extraction and SVM for classification - Complete workflow with dimensionality reduction and machine learning algorithms
This custom-developed code performs feature extraction from infrared images, implementing seven key characteristics including aspect ratio, complexity, compactness, mean ratio, and invariant moments, providing robust preprocessing for subsequent recognition tasks
Utilizing face image normalization, face detection, and feature extraction processes to achieve face recognition functionality, with code implementation approaches for each stage.
MATLAB source code for feature extraction in face recognition, implementing Linear Discriminant Analysis (LDA) methodology for dimensionality reduction and pattern classification.
Implementing Gabor wavelet feature extraction combined with SVM classifier for biometric recognition systems including palmprint, face, and fingerprint identification, with detailed algorithm workflow and code implementation approach
Feature extraction for radar waveforms by leveraging wavelet energy moments as distinctive characteristics, with implementation insights on signal decomposition and energy distribution analysis across frequency scales.
KPCA is primarily applied for image denoising, with additional capabilities for feature extraction and dimensionality reduction in data preprocessing workflows.
An image analysis program that efficiently performs feature extraction on input images using MATLAB implementation, including image processing, segmentation, and recognition functionalities