Σύγκριση μεθόδων

	Μετασχηματισμός Fourier Βραχέος Χρόνου	Τυφλός Διαχωρισμός Πηγών
Πεδίο	Επεξεργασία Σήματος	Επεξεργασία Σήματος
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1946	1994
Δημιουργός	Dennis Gabor	Pierre Comon
Τύπος	Time-frequency signal analysis	Unsupervised signal decomposition
Θεμελιώδης πηγή	Gabor, D. (1946). Theory of Communication. Journal of the Institution of Electrical Engineers, 93(3), 429–457.	Comon, P. (1994). Independent Component Analysis, a New Concept? Signal Processing, 36(3), 287–314.
Εναλλακτικές ονομασίες	STFT, Windowed Fourier Transform, Time-Frequency Analysis	BSS, Blind Signal Separation, Independent Component Analysis, ICA
Συναφείς	4	4
Σύνοψη	The Short-Time Fourier Transform (STFT) is a fundamental signal analysis technique that computes the frequency content of a signal as it evolves over time by applying the Fourier transform to short, overlapping windows of the signal. Introduced conceptually by Dennis Gabor in 1946, the STFT provides a time-frequency representation essential for analyzing non-stationary signals where frequency content changes over time.	Blind Source Separation (BSS) is a signal processing technique that recovers original signals from their unknown mixture without detailed knowledge of the mixing process. Through the framework of Independent Component Analysis (ICA), BSS recovers statistically independent source signals using only the assumption that sources are independent and non-Gaussian. First formalized by Pierre Comon in 1994, BSS has become essential for applications from audio separation to biomedical signal analysis.