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Titlebook: Underwater Acoustic Data Processing; Y. T. Chan Book 1989 Kluwer Academic Publishers 1989 Wave.algorithms.artificial intelligence.classifi

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Application of the Output Error System Identification Method to the Calibration of Underwater Acoustnt signals to predict rational transfer functions for transducers under free-field conditions. The parametric models used can be seen as either phenomenological models, or as low-frequency approximations to transducer behavior when the device dimensions are small compared to a wavelength.
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Determination of the Acoustic Properties of the Sea Floor by Measuring the Angle Dependency of the Rple formulas. The parameters of the model are fitted to the measured values by an inversion program and used to calculate the reflection coefficient and consequently the bottom loss at the interesting low grazing angles.
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Acoustic Coherence Loss Due to Ocean Boundary Interactionsdary. Another is the spatial loss due to multipath in both constant-depth and variable-depth water, noting that for an array at the top of a slope it may largely be avoided by laying along the contours.
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A New Algorithm for the Identification of Distorted Wavefrontsutput of a sensors array. To implement it, the source steering vectors are recognized as being orthogonal to the eigenvectors spanning the noise subspace or, preferably, to the columns of a certain matrix Q directly computed from the cross-spectral matrix.
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Fundamentals of Bistatic Active SONARThe purpose of this paper is to provide an introduction to bistatic active sonar. We consider only the simplest case of a single source and a single spatially-separated receiver. The extension to multiple sources and receivers is straightforward and involves the same concepts and principles.
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