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倒谱分析×波束形成×
领域声学声学
方法族Process / pipelineProcess / pipeline
起源年份19631988
提出者Bogert, Healy, TukeyVan Veen, Barry Buckley
类型Spectral decomposition methodDirectional audio array processing
开创性文献Bogert, 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 ↗
别名cepstrum, MFCC, mel-frequency cepstral coefficients, spectral analysisbeamformer, spatial filtering, microphone array, phased array
相关55
摘要Cepstral 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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ScholarGate方法对比: Cepstral Analysis · Beamforming. 于 2026-06-18 检索自 https://scholargate.app/zh/compare