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Titlebook: Simulation of Communication Systems; Michel C. Jeruchim,Philip Balaban,K. Sam Shanmugan Book 1992 Springer Science+Business Media New York

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书目名称Simulation of Communication Systems
编辑Michel C. Jeruchim,Philip Balaban,K. Sam Shanmugan
视频video
丛书名称Applications of Communications Theory
图书封面Titlebook: Simulation of Communication Systems;  Michel C. Jeruchim,Philip Balaban,K. Sam Shanmugan Book 1992 Springer Science+Business Media New York
描述Simulation may be defined as the discipline whose objective is to imitate one or more aspects of reality in a way that is as close to that reality as possible; indeed, an apt synonym that is gaining some currency is artificial reality. Under this definition, simulation is a very old discipline. Probably the first applications of simulation were to scale models of various types of dynamical structures or mechanical devices. Man has always looked for ways to "try things out" before building the real thing; this is the motivation behind any form of simulation. Thus, simulation of communication systems is concerned with imitating some aspects of the behavior of communication systems. It is implicit in our use of simulation that the medium (so to speak) for carrying it out is the digital computer. Computer-based modeling and simulation of communication systems has only developed in the last 20 years or so, since the advent of modern digital computers. A variety of modeling and simulation techniques have been developed and described in widely scattered journals, but until now there has not been a single volume devoted to the subject. We have tried to provide a unified framework that desc
出版日期Book 1992
关键词communication; communication system; modeling; signal; simulation; complexity
版次1
doihttps://doi.org/10.1007/978-1-4615-3298-9
isbn_ebook978-1-4615-3298-9
copyrightSpringer Science+Business Media New York 1992
The information of publication is updating

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eality as possible; indeed, an apt synonym that is gaining some currency is artificial reality. Under this definition, simulation is a very old discipline. Probably the first applications of simulation were to scale models of various types of dynamical structures or mechanical devices. Man has alway
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Simulation and Modeling Methodology, dealing with them essentially form the . of simulation. The dividing line between “art” and “science” is somewhat subjective, but is not critical, in any case. In this chapter we discuss several issues that we classify as methodological.
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Simulation of Random Variables and Random Processes,ing and providing power to a variety of devices. Signals, whether they are voltage or current waveforms, are functions of time and they can be classified as deterministic or random. Deterministic signals can be described by functions in the usual mathematical sense with time . as the independent var
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