A Statistical Analysis of Two-Channel Post-Filter Estimators in Isotropic Noise Fields

This paper derives explicit expressions of the probability density functions of the two-channel post-filter estimators in isotropic noise fields to study their statistical properties. According to the analysis results, three methods are proposed to improve the performance of the noise filed coherenc...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2013-02, Vol.21 (2), p.336-342
Hauptverfasser:	Zheng, Chengshi, Liu, Hao, Peng, Renhua, Li, Xiaodong
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Coherence Detection, estimation, filtering, equalization, prediction Estimators Exact sciences and technology IEEE transactions Information, signal and communications theory Joint probability density function Joints mismatch Natural language processing Noise post-filter Probability density functions Sensors Signal and communications theory Signal processing Signal, noise Speech speech enhancement Speech processing Statistical analysis Telecommunications and information theory Transaction processing
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	This paper derives explicit expressions of the probability density functions of the two-channel post-filter estimators in isotropic noise fields to study their statistical properties. According to the analysis results, three methods are proposed to improve the performance of the noise filed coherence (NFC)-based post-filter estimator.
ISSN:	1558-7916 2329-9290 1558-7924 2329-9304
DOI:	10.1109/TASL.2012.2229981