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Anàlisi Cepstral×Formació de feixos×
CampAcústicaAcústica
FamíliaProcess / pipelineProcess / pipeline
Any d'origen19631988
Autor originalBogert, Healy, TukeyVan Veen, Barry Buckley
TipusSpectral decomposition methodDirectional audio array processing
Font seminalBogert, B. P., Healy, M. J., & Tukey, J. W. (1963). The quefrency alanysis of time series for echoes: cepstrum, pseudo-autocovariance, cross-cepstrum, and saphe cracking. In Time Series Analysis Research Papers (pp. 209–243). Wiley. link ↗Van Veen, B. D., & Buckley, K. M. (1988). Beamforming: A versatile approach to spatial filtering. IEEE ASSP Magazine, 5(2), 4–24. DOI ↗
Àliescepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysisbeamformer, spatial filtering, microphone array, phased array
Relacionats55
ResumCepstral analysis is a spectral analysis technique that decomposes signals into independent components by inverting the log-magnitude spectrum. Pioneered by Bogert, Healy, and Tukey in 1963, cepstral analysis reveals periodic structure in spectra (pitch, echo patterns) and separates source excitation from filter response. Mel-frequency cepstral coefficients (MFCCs) derived from cepstral analysis are the most widely used features in automatic speech recognition, speaker verification, and audio analysis.Beamforming is a spatial signal processing technique that uses microphone arrays to selectively enhance sound from a desired direction while suppressing sounds from other directions. Formalized by Van Veen and Buckley in 1988, beamforming is fundamental to hands-free speech communication, hearing aids, sonar, radar, and spatial audio recording. It enables 'listening' with directional sensitivity despite using omnidirectional microphones, by exploiting time delays and phase differences between array elements.
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ScholarGateCompara mètodes: Cepstral Analysis · Beamforming. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare