Paper Info
Title
Statistical analysis of temporal coherence function and its application in howling detection
Abstract
Temporal coherence function (TCF) is first defined to measure the correlation between a wave and its delayed version in optics. Now, TCF is a basic physical quantity, that has already been applied to numerous fields. To the best of our knowledge, statistical properties of TCF have not been well studied until now. After defining TCF, this paper gives a new insight into it by studying its statistical properties, where its probability density functions (p.d.f.s) for different types of signals are given. Finally, TCF is applied to detect howling frequency, where we show how to choose the delay time in a best way for practical considerations. There are two benefits by using TCF in howling detection. First, its computation is extremely low. Second, the detection threshold can be easily chosen since TCF is a normalized measurement. Experimental results show the validity of TCF in detecting howling frequency.
Year
DOI
Venue
2014
10.1109/ICDSP.2014.6900789
DSP
Keywords
Field
DocType
auto-spectral coherence function,howling detection,normalized measurement,cross-coherence,statistical analysis,tcf,delay time,statistical properties,detection threshold,temporal coherence function,howling frequency detection,probability density functions,signal detection,probability
Coherence (statistics),Pattern recognition,Computer science,Coherence (signal processing),Speech recognition,Artificial intelligence,Statistical analysis
Conference
ISSN
Citations 
PageRank 
1546-1874
0
0.34
References 
Authors
5
5
Name
Order
Citations
PageRank
Chengshi Zheng13211.66
Yuxuan Ke212.04
Renhua Peng352.13
Xiaodong Li440.80
Yi Zhou5159.83