@inproceedings{ba2684ebee5f479e9a660d881936df6b,
title = "Effects of noise on the features of bispectrum",
abstract = "Higher-order Spectral (HOS) techniques can be used to detect deviations from linearity, stationarity or Guassianity in the signal. Most of the biom{\'e}dical signals are non-linear, non-stationary, and non-Gaussian in nature. It is more useful to analyze them with HOS compared to the use of second-order statistics (power spectrum). There are some features in the bispectrum that are capable of differentiating between the signal and signal with noise. This study presents a technique of HOS to investigate the effect of noise on the features of third order statistics (bispectrum). The results show that the magnitudes of the bispectrum are consistently changing as a function of the amount of noise. In addition, these features can be extracted from the speech signal to compare with the respective behavioral responses, and thus a new metric to assess speech intelligibility and quality can be developed.",
keywords = "Bispectrum, Entropy, Higher Order Spectral, Quadratic phase coupling (QPC), Weighted center of bispectrum (WCOB)",
author = "Ekramul, {M. H.} and Jassim, {Wissam A.} and Zilany, {M. S.A.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference, IFESS 2014 ; Conference date: 17-09-2014 Through 19-09-2014",
year = "2014",
month = feb,
day = "9",
doi = "10.1109/IFESS.2014.7036758",
language = "English",
series = "2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference, IFESS 2014 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference, IFESS 2014 - Conference Proceedings",
address = "United States",
}