The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Bispectrum estimation: A digital signal processing framework
Abstract
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.
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Halliday, D. M., Rosenberg, J. R., Amjad, A. M., Breeze, P., Conway, B. A., & Farmer, S. F. (1995) · Progress in Biophysics and Molecular Biology · doi:10.1016/s0079-6107(96)00009-0 · Cited by 1,107
Electroencephalogram signatures of loss and recovery of consciousness from propofol
Purdon, P. L., Pierce, E. T., Mukamel, E. A., Prerau, M. J., Walsh, J. L., Wong, K. F. K., Salazar-Gomez, A. F., Harrell, P. G., Sampson, A. L., Cimenser, A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221180110 · Cited by 854
Update on Bispectral Index monitoring
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Metadata
- Authors
- Nikias, C. L., & Raghuveer, M. R.
- Venue
- Proceedings of the IEEE
- Published
- 1987
- Volume
- 75
- Issue
- 7
- Pages
- 869-891
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2018388266
- Cited by
- 1,377
- References
- 26
- FWCI
- 35.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.