MATLAB Time-Frequency Analysis Toolbox

This software is a comprehensive MATLAB time-frequency analysis toolbox specifically designed for EEG (electroencephalogram) signal processing. It provides researchers with robust analytical tools to develop sophisticated brainwave analysis applications, bringing us closer to realizing mind-controlled computer systems - a groundbreaking future technology. The toolbox includes advanced algorithms for time-frequency decomposition (such as STFT, wavelet transforms, and Hilbert-Huang transform implementations) that enable detailed characterization of EEG signal properties and patterns. These analytical capabilities allow researchers to gain deeper insights into brainwave characteristics and neurological activity patterns, facilitating advancements in understanding human brain functionality and neural system operations. The package features an intuitive user interface with pre-built functions for signal preprocessing, feature extraction, and visualization, making it accessible even for users without extensive MATLAB programming experience. Key functions include eeg_filter() for signal conditioning, tf_analyze() for time-frequency mapping, and pattern_classify() for cognitive state identification. Overall, this toolbox provides substantial support for EEG research领域 and lays a solid foundation for the development of brain-computer interface technologies.