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- W1879156988 abstract "We present new eigenstructure based methods for spatial-temporal processing in passive sensor arrays. Unlike the existing methods of Schmidt and Bienvenu and Kopp, the new estimators are not based only on the underlying orthogonality relation between the noise subspace and the signal subspace, but also on statistical considerations stemming from the structure of the maximum likelihood estimator. As such, these estimators make better use of the available data and therefore have superior performance, especially in the threshold region, where efficient utilization of the data is most rewarding." @default.
- W1879156988 created "2016-06-24" @default.
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- W1879156988 date "2005-03-23" @default.
- W1879156988 modified "2023-09-24" @default.
- W1879156988 title "Extending the threshold of the eigenstructure methods" @default.
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- W1879156988 doi "https://doi.org/10.1109/icassp.1985.1168365" @default.
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