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Titlebook: Aspects of Signal Processing With Emphasis on Underwater Acoustics, Part 2; Proceedings of the N G. Tacconi Conference proceedings 1977 Spr

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Flexible Mamdani-Type Neuro-Fuzzy Systems,wavenumber or frequency-wavenumber spectra for random fields. The paper is primarily a tutorial coverage of autoregressive (also called maximum entropy) and maximum likelihood methods of spectral analysis. In addition to standard material on these subjects a recent generalization of the Burg algorithm from scalar to vector time series is included.
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A Constrained Adaptive Beamformer Tolerant of Array Gain and Phase Errorsnals incident on the side lobes of an antenna array while preserving small broadband and narrowband and large broadband signals incident in the steering direction. In exchange for error tolerance broadband superdirectivity and large narrowband signal reception are lost.
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Adaptive Beamforming in an Active Doppler Sonar these idealized models the optimized array response patterns are computed and will be shown for various doppler frequency cells, platform velocities and sea state conditions..Next the physical transducer is measured and the actual performance of adaptive beamforming, taking into account the transdu
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Adaptive Array Processing Experiments at HF use of MTI clutter suppression filters at the subarray outputs, prior to adaptation, was investigated. No significant improvement was observed with the use of these filters on experimental data. Finally, it was shown that the presence of fading nulls can significantly affect the determination of op
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Error and Reject Tradeoff for Nearest Neighbor Decision Rules has a probability of error which is no greater than twice the Bayes probability of error. They also showed that the error probability of the k-nearest neighbor (k-NN) rule is monotonically decreasing in k to the Bayes error probability. The family of k-NN rules is therefore quite versatile, extendi
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1389-2185 e properties are not met, careful in situ array measurements are required, and even with such measurements practical array gains may not be as good as predictions based on ideal sensors.978-94-010-5350-1978-94-011-3036-3Series ISSN 1389-2185
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