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Titlebook: Data Transportation and Protection; John E. Hershey,R. K. Rao Yarlagadda Book 1986 Plenum Press, New York 1986 ISDN.Protection.communicati

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书目名称Data Transportation and Protection
编辑John E. Hershey,R. K. Rao Yarlagadda
视频video
丛书名称Applications of Communications Theory
图书封面Titlebook: Data Transportation and Protection;  John E. Hershey,R. K. Rao Yarlagadda Book 1986 Plenum Press, New York 1986 ISDN.Protection.communicati
描述A new breed of engineer is developing in our contemporary society. These engineers are concerned with communications and computers, economics and regulation. These new engineers apply themselves to data-to its pack­ aging, transmission, and protection. They are data engineers. Formal curricula do not yet exist for their dedicated development. Rather they learn most of their tools "on the job" and their roots are in computer engineering, communications engineering, and applied mathe­ matics. There is a need to draw relevant material together and present it so that those who wish to become data engineers can do so, for the betterment of themselves, their employer, their country, and, ultimately, the world-for we share the belief that the most effective tool for world peace and stability is neither politics nor armaments, but rather the open and timely exchange of information. This book has been written with that goal in mind. Today numerous signs encourage us to expect broader information exchange in the years to come. The movement toward a true Integrated Services Digital Network (ISDN) is perhaps the clearest of these. Also, the development offormal protocol layers reflects both a
出版日期Book 1986
关键词ISDN; Protection; communication; computer; network; society; transmission
版次1
doihttps://doi.org/10.1007/978-1-4613-2195-8
isbn_softcover978-1-4612-9290-6
isbn_ebook978-1-4613-2195-8
copyrightPlenum Press, New York 1986
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Applications of Matrices to Discrete Data System Analysis, the process we show that matrix analysis is a logical tool to use for solving discrete data problems. The major topics of this chapter are convolution, deconvolution, and difference equations. In an earlier chapter we pointed out that matrix transformations can be visualized as converting one set o
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Source Encoding, and appropriately model the data source. Is it English text? A Markov source? Facsimile? Each source is unique and so are its output statistics. There is often great opportunity to remove redundancy from a source by using simple encoding methods and doing so may result in an appreciable savings in
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The Channel and Error Control, waveforms and then either put directly onto a medium, as is the case with many local area networks, or sent through a modem (modulator/ demodulator) which generates and resolves waveforms designed for use on a specific channel. A communications engineer characterizes the behavior, not of bits throu
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Matrix Representations,d in a form that is amenable for such a procedure. In this chapter we discuss a matrix representation in terms of its eigenvalues and eigenvectors (Wilkinson, 1965). This approach is valid for real or complex field applications. In the later part of the chapter we discuss different approaches that allow for finite field matrix representations.
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