By Bernard Sklar

ISBN-10: 8131720926

ISBN-13: 9788131720929

  • The transparent, easy-to-understand advent to electronic communications
  • Completely up-to-date assurance of modern most important applied sciences
  • Step-by-step implementation assurance
  • Trellis-coded modulation, fading channels, Reed-Solomon codes, encryption, and extra
  • Exclusive assurance of maximizing functionality with complex "turbo codes"

"This is a remarkably finished therapy of the sphere, overlaying in substantial aspect modulation, coding (both resource and channel), encryption, a number of entry and unfold spectrum. it could possibly serve either as a superb advent for the graduate scholar with a few history in likelihood thought or as a worthwhile reference for the working towards ommunication procedure engineer. For either groups, the therapy is obvious and good presented."

– Andrew Viterbi, The Viterbi workforce

Master each key electronic communications expertise, inspiration, and method.

Digital Communications, moment variation is a completely revised and up-to-date version of the field's vintage, best-selling advent. With striking readability, Dr. Bernard Sklar introduces each electronic communique expertise on the middle of ultra-modern instant and net revolutions, supplying a unified constitution and context for figuring out them -- all with no sacrificing mathematical precision.

Sklar starts by means of introducing the basics of indications, spectra, formatting, and baseband transmission. subsequent, he provides sensible insurance of almost each modern modulation, coding, and sign processing approach, with numeric examples and step by step implementation assistance. insurance contains:

  • Signals and processing steps: from details resource via transmitter, channel, receiver, and knowledge sink
  • Key tradeoffs: signal-to-noise ratios, likelihood of errors, and bandwidth expenditure
  • Trellis-coded modulation and Reed-Solomon codes: what is in the back of the maths
  • Synchronization and unfold spectrum options
  • Fading channels: reasons, results, and strategies for withstanding fading
  • The first entire how-to advisor to faster codes: squeezing greatest functionality out of electronic connections
  • Implementing encryption with PGP, the de facto normal

Whether you are construction instant platforms, xDSL, fiber or coax-based providers, satellite tv for pc networks, or web infrastructure, Sklar offers the speculation and the sensible implementation info you would like. With approximately 500 illustrations and three hundred difficulties and routines, there is by no means been a swifter option to grasp complex electronic communications.

CD-ROM INCLUDED

The CD-ROM incorporates a whole academic model of Elanix' SystemView DSP layout software program, in addition to distinct notes for buying began, a accomplished DSP instructional, and over 50 extra communications routines.

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Extra resources for Digital Communications. Fundamentals and Applications

Sample text

Notice that the area under the PSD curve represents the average power in the signal. One convenient measure of bandwidth is the width of the main spectral lobe. 6a–e, except that the pulse duration is shorter. 6d. 6i, RX(␶1) ϭ 0; in other words, a shift of ␶1 in the case of the shorter pulse duration example is enough to produce a zero match, or a complete decorrelation between the shifted sequences. 6e for the lower pulse rate. 5 Noise in Communication Systems The term noise refers to unwanted electrical signals that are always present in electrical systems.

The autocorrelation function is a measure of the degree to which two time samples of the same random process are related. 2 Stationarity A random process X(t) is said to be stationary in the strict sense if none of its statistics are affected by a shift in the time origin. A random process is said to be wide-sense stationary (WSS) if two of its statistics, its mean and autocorrelation function, do not vary with a shift in the time origin. 33) Strict-sense stationary implies wide-sense stationary, but not vice versa.

Thus, for M ϭ 2, the message symbol mi is binary (meaning that it constitutes just a single bit). Even though binary symbols fall within the general definition of M-ary, nevertheless the name M-ary is usually applied to those cases where M Ͼ 2; hence, such symbols are each made up of a sequence of two or more bits. ) For systems that use channel coding (error correction coding), a sequence of message symbols becomes transformed to a sequence of channel symbols (code symbols), where each channel symbol is denoted ui.

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Digital Communications. Fundamentals and Applications by Bernard Sklar


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