PCA Face Detection and Recognition
PCA Face Detection and Recognition - Content: Face Eigenvalue Extraction, Face Model Reconstruction, and Face Recognition with Implementation Details
Explore MATLAB source code curated for "特征值提取" with clean implementations, documentation, and examples.
PCA Face Detection and Recognition - Content: Face Eigenvalue Extraction, Face Model Reconstruction, and Face Recognition with Implementation Details
CSP algorithm for asynchronous brain-computer interface feature value extraction. Brain-Computer Interface (BCI) technology provides a non-muscular communication channel enabling direct information exchange between the brain and external environment. BCI converts brain signals into control commands for external devices, bypassing traditional peripheral nerve and muscle pathways [1]. Implementation involves spatial filtering techniques and eigenvalue decomposition using MATLAB's signal processing toolbox.
Process ECG signals to extract feature values and useful information through signal processing algorithms