The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Review of Multitaper Spectral Analysis
Abstract
Nonparametric spectral estimation is a widely used technique in many applications ranging from radar and seismic data analysis to electroencephalography (EEG) and speech processing. Among the techniques that are used to estimate the spectral representation of a system based on finite observations, multitaper spectral estimation has many important optimality properties, but is not as widely used as it possibly could be. We give a brief overview of the standard nonparametric spectral estimation theory and the multitaper spectral estimation, and give two examples from EEG analyses of anesthesia and sleep.
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Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - I
Slepian, D., & Pollak, H. O. (1961) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1961.tb03976.x · Cited by 2,492
Cited by
Hippocampal-amygdala memory circuits govern experience-dependent observational fear
Terranova, J. I., Yokose, J., Osanai, H., Marks, W. D., Yamamoto, J., Ogawa, S. K., & Kitamura, T. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.019 · Cited by 117
Metadata
- Authors
- Babadi, B., & Brown, E. N.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2014-05
- Volume
- 61
- Issue
- 5
- Pages
- 1555-1564
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W1966389522
- Cited by
- 342
- References
- 3
- FWCI
- 29.98
- Type
- journal article
- Language
- en
- Open access
- closed
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