Σύγκριση μεθόδων

	Τυφλός Διαχωρισμός Πηγών	Μετασχηματισμός Fourier Βραχέος Χρόνου
Πεδίο	Επεξεργασία Σήματος	Επεξεργασία Σήματος
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1994	1946
Δημιουργός	Pierre Comon	Dennis Gabor
Τύπος	Unsupervised signal decomposition	Time-frequency signal analysis
Θεμελιώδης πηγή	Comon, P. (1994). Independent Component Analysis, a New Concept? Signal Processing, 36(3), 287–314.	Gabor, D. (1946). Theory of Communication. Journal of the Institution of Electrical Engineers, 93(3), 429–457.
Εναλλακτικές ονομασίες	BSS, Blind Signal Separation, Independent Component Analysis, ICA	STFT, Windowed Fourier Transform, Time-Frequency Analysis
Συναφείς	4	4
Σύνοψη	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.	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.