• DocumentCode
    239679
  • Title

    Statistical analysis of temporal coherence function and its application in howling detection

  • Author

    Chengshi Zheng ; Yuxuan Ke ; Renhua Peng ; Xiaodong Li ; Yi Zhou

  • Author_Institution
    Commun. Acoust. Lab., Inst. of Acoust., Beijing, China
  • fYear
    2014
  • fDate
    20-23 Aug. 2014
  • Firstpage
    856
  • Lastpage
    861
  • 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.
  • Keywords
    probability; signal detection; statistical analysis; TCF; delay time; detection threshold; howling frequency detection; normalized measurement; probability density functions; statistical analysis; statistical properties; temporal coherence function; Acoustics; Coherence; Digital signal processing; Frequency-domain analysis; Sea measurements; Smoothing methods; Speech; Auto-spectral coherence function; cross-coherence; howling detection; temporal coherence function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2014 19th International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICDSP.2014.6900789
  • Filename
    6900789