On Estimation of Time-Varying Variances of Source and Noise for Sensor Array Processing

Estimation of time-varying variances of signals for beamforming in sensor arrays is a challenging problem. Based on the assumption that the array manifold vector and the noise pseudo-coherence matrix are known a priori or are well estimated, we present in this paper two estimators for estimating the...

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Veröffentlicht in:	IEEE/ACM transactions on audio, speech, and language processing Jg. 28; S. 2865 - 2879
Hauptverfasser:	Pan, Chao, Chen, Jingdong, Shi, Guangming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Array processing Array signal processing Arrays Beamforming Coherence Covariance matrices Estimation Estimators Gaussian mixture model (GMM) Indexes Manifolds Mathematical analysis Matrix algebra Matrix methods Noise Parameter estimation Sensor arrays Signal processing Signal to noise ratio Speech processing variance estimation
ISSN:	2329-9290, 2329-9304
Online-Zugang:	Volltext
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