قارن الطرق

	فصل المصادر العمياء	تحويل فورييه قصير المدى
المجال	معالجة الإشارات	معالجة الإشارات
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1994	1946
صاحب الطريقة	Pierre Comon	Dennis Gabor
النوع	Unsupervised signal decomposition	Time-frequency signal analysis
المصدر التأسيسي	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.
الأسماء البديلة	BSS, Blind Signal Separation, Independent Component Analysis, ICA	STFT, Windowed Fourier Transform, Time-Frequency Analysis
ذات صلة	4	4
الملخص	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.