The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Detection of signals by information theoretic criteria
Abstract
A new approach is presented to the problem of detecting the number of signals in a multichannel time-series, based on the application of the information theoretic criteria for model selection introduced by Akaike (AIC) and by Schwartz and Rissanen (MDL). Unlike the conventional hypothesis testing based approach, the new approach does not requite any subjective threshold settings; the number of signals is obtained merely by minimizing the AIC or the MDL criteria. Simulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.
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Cites
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Cited by
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A method for making group inferences from functional MRI data using independent component analysis
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
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Self-citation
Metadata
- Authors
- Wax, M., & Kailath, T.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1985-04
- Volume
- 33
- Issue
- 2
- Pages
- 387-392
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2096710051
- Cited by
- 3,426
- References
- 19
- FWCI
- 25.27
- 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).
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