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Слепо разделяне на източници×Кратковременна трансформация на Фурие×
ОбластОбработка на сигналиОбработка на сигнали
СемействоProcess / pipelineProcess / pipeline
Година на възникване19941946
СъздателPierre ComonDennis Gabor
ТипUnsupervised signal decompositionTime-frequency signal analysis
Основополагащ източникComon, P. (1994). Independent Component Analysis, a New Concept? Signal Processing, 36(3), 287–314. DOI ↗Gabor, D. (1946). Theory of Communication. Journal of the Institution of Electrical Engineers, 93(3), 429–457. link ↗
Други названияBSS, Blind Signal Separation, Independent Component Analysis, ICASTFT, Windowed Fourier Transform, Time-Frequency Analysis
Свързани44
РезюмеBlind 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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Blind Source Separation · Short-Time Fourier Transform. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare