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 finished and up to date assurance of analysis on sonar layout, together with the fundamental concept and methods of electronic sign processing, uncomplicated inspiration of knowledge idea, ocean acoustics, underwater acoustic sign propagation concept, and underwater sign processing thought. This publication discusses the overall layout method and methods to implementation, the layout approach, process simulation thought and methods, sonar checks within the laboratory, lake and sea, and sensible validation standards and techniques for electronic sonar layout. it truly is 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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Note that the recursive filter is actually a system with feedback operation. [3> (a) y(n)=acX(n)-bly(n-l) x(n) (b) Fig. 15. Examples of recursive and non-recursive system. 5 If for any boundary input x(n), the output yen) is boundary, the system is called reliable. In the design of a digital filter, being "reliable" is one of the most important requirements. If a boundary input series results in an un-boundary output, it means the system cannot work normally. Here is a theorem for identifYing if a digital filter is reliable.

Digital system ~_Output __ I . +- Input / output of a digital system In this example, the time duration of samples remains fixed. However, as x(n) and yen) are pure data, in a sense, the time duration between data is meaningless. This point will playa part in down-sampling and up-sampling. Fig. 13 illustrates some examples of digital signals, where Fig. 26) and Fig. 27) Clearly, i5(n) = u(n) - u(n - 1). Fig. 13(c) expresses a periodic series. The characteristic of a periodic series is that there exists a positive integer No, such that x(n) = x(n+No).

57) fher )x(t - T)d ~ (5) Convolution theorem in time domain. Suppose yet) = x(t) * h(t) and x(t) H X(f), h(t) H yet) = T H(f), then Y(f) = H(f)X(f) H (6) Convolution theorem in frequency domain. 59) (7) Parseval equality. 3 Characteristics of Digital Signals in Time Domain and Frequency Domain 43 operation for a random signal. It is proved that the limit on the right side must exist. The following Wiener-Khinchine theorem explores the substantial relationship between the power spectrum and the auto-correlation function of a random signal.

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