Bispectrum estimation: A digital signal processing framework

• Published in: Proceedings of the IEEE Vol. 75; no. 7; pp. 869 - 891
• Main Authors: Nikias, C.L., Raghuveer, M.R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 1987; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Computational complexity; Data mining; Digital signal processing; Exact sciences and technology; Gaussian processes; Information, signal and communications theory; Integrated circuit technology; Phase estimation; Power system harmonics; Signal processing; Spectral analysis; Telecommunications and information theory; Very large scale integration; Signal processing; Parametric signal; Digital processing; Phase; Signal estimation; Power spectrum
• ISSN: 0018-9219; 1558-2256
• DOI: 10.1109/PROC.1987.13824

It is the purpose of this tutorial paper to place bispectrum estimation in a digital signal processing framework in order to aid engineers in grasping the utility of the available bispectrum estimation techniques, to discuss application problems that can directly benefit from the use of the bispectrum, and to motivate research in this area. Three general reasons are behind the use of bispectrum in signal processing and are addressed in the paper: to extract information due to deviations from normality, to estimate the phase of parametric signals, and to detect and characterize the properties of nonlinear mechanisms that generate time series.