Download Digital Sonar Design in Underwater Acoustics: Principles and by Qihu Li PDF

By Qihu Li

"Digital Sonar layout in Underwater Acoustics ideas and purposes" offers complete and updated assurance of study on sonar layout, together with the fundamental concept and strategies of electronic sign processing, simple proposal of knowledge concept, ocean acoustics, underwater acoustic sign propagation thought, and underwater sign processing idea. This ebook discusses the final layout process and ways to implementation, the layout approach, approach simulation conception and strategies, sonar exams within the laboratory, lake and sea, and useful validation standards and techniques for electronic sonar layout. it's meant for researchers within the fields of underwater sign processing and sonar layout, and likewise for military officials and ocean explorers. Qihu Li is a professor on the Institute of Acoustics, chinese language Academy of Sciences, and an academician of the chinese language Academy of Sciences.

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0-,4--,-:-----'-:---~:'------':'----:'------':'------' O. c. 1970 1975 1980 1985 1990 1995 2000 2005 Year Fig. 7. ~ ,g r-----~ Microcomputer of Intel Corp. Tnstruction memo Uatamem. Algorithm unit Ca) (b) Fig. 8. The V. Neumann construction and Harvard construction of microcomputer. (a) V. 3 Today and Tomorrow of Digital Sonar 13 In 1978, Intel released the 2920 as an "analog signal processor". It had an on-chip ADC / DAC with an internal signal processor, but it did not have a hardware multiplier and was not successful in the market.

Signal x(t) and its spectrum X( f) are interchangeable. 10) Eq. 10) is similar to Eq. 3 U;, TJ and(W,1). Sampling Theorem for Stationary Random Signal According to the basic mathematical definition of a random process, the direct Fourier transform of a stationary random signal does not exist, but the power density spectrum of such a signal can take a role similar to that of the spectrum of a deterministic signal. The sampling theorem for a stationary random signal has a slightly different form compared with that for a deterministic signal.

4. Sampling of a single frequency signal In the sampling operation, we neglect the signal value between sampling intervals and therefore it is possible that two different analogue signals may correspond to the same discrete time series. Fig. 5 shows an example: suppose the analogue signal to be sampled is a sinusoid signal with a frequency 1; =.!.. s = 1 Hz. The sample is shown in the figure in dot sign. But we can see that these samples are also the result of sampling a signal h = _7... Hz. Clearly, to prevent this kind of phenomenon 8 occurring and to ensure that the results from a sampling operation are unique, we need some kinds of rules for the original signal to be sampled and / or the sampling frequency.

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