Titlebook: Issues in Acoustic Signal — Image Processing and Recognition; C. H. Chen Conference proceedings 1983 Springer-Verlag Berlin Heidelberg 198

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Machine Analysis of Acoustical Signalsuced the signals is used by the system in the interpretation process. Expert systems have already matched human capabilities in certain applications such as chemical structure analysis and certain areas of medical diagnosis, suggesting that acoustical signal analysis will meet with similar success.

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Geometric Aspects in Array Processinge geometric figures whose description is incorporated into the problem in an expedite way. In practice, due to causes beyond the control of the designer, the actual array departs from these simple geometries. Colinearity is difficult of maintaining in very long arrays. Uncertainty may arise concerni

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Bearing Estimation using Random Arraysstimated to a fraction of a wavelength in order to coherently process the signals, which is a separate processing task since the field has a changing random pattern due to drifting of the buoys. This paper reviews the statistical properties of the maximum likelihood bearing estimator computed from c

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How VHF Acoustics can Help Process Underwater Acoustic Signalsed duration (10–100 µs) signals. The processing speed is equivalent to 10. to 10. floating point operations per second..They exhibit 10–12 bit (60–80 dB) dynamic range and a floating point type accuracy of 6 to 8 bits. The major drawback is the lack of memory and this is why it is very often useful

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Sampling Theory and Wave Propagationrtefacts due to the recording and processing methods, these variations reflect the frequency dependence of wave propagation, due to the following phenomena:.From theoretical studies, it appears that, in high resolution seismic, the propagation of high frequency waves may be very sensitive to 1D scat

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Implementation of Image Enhancement and Least Squares Filtering Techniques for Acoustic Dataages; and the enhancement of resolution when images are collected over limited apertures, as in many acoustic applications..Kalman filtering techniques are discussed and shown to facilitate desmearing of space variant and invariant blurs, as well as to suppress noise. 1-D smearing effects are tackle