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

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Advanced Methods for the Investigation of the Underwater Channelal propagation models as well as some experimental results. The theoretical models enable to roughly predict the acoustical propagation, to guide the choice of some identification methods, and to define the experimental conditions. The experimental results lead to the identification of the model par

叢林

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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The Multipath Coherence Function for Correlated Random Channels and a Moving Sourcessing. The Mutual Coherence Function, which is the normalized cross spectral density, is normally used to characterize the spatial coherence of the sound field. But this quantity is not really adequate, because in actual signal processing one has to work with time limited signals and estimations of

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Vertical Directionality of Ambient Noise at 32 ° N as a Function of Longitude and Wind Speedal differences in the vertical distribution of noise have been measured, especially at the higher frequencies which can be interpreted in the context of attenuation by seawater sound absorption of coastal shipping. Due to substantial differences in weather at the stations, these measurements also pr

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The Influence of Bubbles on Acoustic Propagation and Scattering-surface layer. The data were obtained in the frequency regime from 3 kHz to 100 kHz for different environmental conditions. The results show acoustic screening of the sea surface due to bubble clouds with increasing frequency and sea state. The excess attenuation decreases with increasing depth bel

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In-Situ Measurement of Elastic Properties of Sea Ice and the oceans when the surface temperature of the sea falls below, approximately, -2°C. Dynamic environmental conditions introduce significant variability into this layer over many length scales of interest to the underwater acoustian (from millimetres to kilometres). Arctic pack ice, for example,

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A Review of Target Strength Estimation Techniquesacoustic techniques to obtain population abundance estimates of fish stocks [1,2]. There has also been an increasing interest in the use of acoustic techniques to study and quantify crustacean and plankton populations. The two commonly used acoustic quantification techniques, echo counting and echo