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Also, end-of-chapter question sets and where to find the answers , as well as end-of-chapter CD exercises have been added. The CD con- tains a workbook with over exercises, as well as a concise tutorial on digital signal processing DSP. CD exercises in the workbook reinforce material in the textbook; concepts can be explored by viewing waveforms with a windows-based PC and by changing parameters to see the effects on the overall system.
Some of the exercises provide basic training in using System View; others provide additional training in DSP techniques. At the university, one has the luxury of time—time to develop the needed skills and mathematical tools, time to practice the ideas with homework exercises. In a short-course, the treatment is almost backwards compared with the university.
Because of the time factor, a short- course teacher must "jump in" early with essential concepts and applications. One of the vehicles that I found useful in structuring a short course was to start by handing out a check list. This was not merely an outline of the curriculum. It represented a collec- tion of concepts and nomenclature that are not clearly documented, and are often mis- understood. The short-course students were thus initiated into the course by being challenged.
I promised them that once they felt comfortable describing each issue, or answering each question on the list, they would be well on their way toward becoming knowledgeable in the field of digital communications.
I have learned that this list of es- sential concepts is just as valuable for teaching full-semester courses as it is for short courses. Here then is my "check list" for digital communications. What mathematical dilemma is the cause for there being several definitions of bandwidth? See Section 1. See Section 3. When representing timed events, what dilemma can easily result in confusing the most-significant bit MSB and the least-significant bit LSB?
See Sec- tion 3. The error performance of digital signaling suffers primarily from two degra- dation types, a loss in signal-to-noise ratio, b distortion resulting in an irre- ducible bit-error probability.
How do they differ? Explain why. See Section 4. De- scribe the behavior of each class. See Sections 4. In orthogonal signaling, why does error-performance improve with higher di- mensional signaling? Why is free-space loss a function of wavelength?
See Section 5. Describe four types of trade-offs that can be accomplished by using an error- correcting code. See Section 6. Of what use is the standard array in understanding a block code, and in eval- uating its capability? Why is the Shannon limit of See Section 8. What are the consequences of the fact that the Viterbi decoding algorithm does not yield a posteriori probabilities? What is a more descriptive name for the Viterbi algorithm? Why do binary and 4-ary orthogonal frequency shift keying FSK manifest the same bandwidth-efficiency relationship?
See Section 9. Describe the subtle energy and rate transformations of received signals: from data-bits to channel-bits to symbols to chips. See Sections 1. In a fading channel, why is signal dispersion independent of fading rapidity? See Section I hope you find it useful to be challenged in this way.
Now, let us describe the purpose of the book in a more methodical way. This second edition is intended to provide a comprehensive coverage of digital communication systems for se- nior level undergraduates, first year graduate students, and practicing engineers. Though the emphasis is on digital communications, necessary analog fundamentals are included since analog waveforms are used for the radio transmission of digital signals.
The key feature of a digital communication system is that it deals with a fi- nite set of discrete messages, in contrast to an analog communication system in which messages are defined on a continuum. The objective at the receiver of the digital system is not to reproduce a waveform with precision; it is instead to deter- mine from a noise-perturbed signal, which of the finite set of waveforms had been sent by the transmitter.
Contact Us. Upload eBook. Privacy Policy. New eBooks. Search Engine. The clear, easy-to-understand introduction to digital communications Completely updated coverage of today's most critical technologies Step-by-step implementation coverage Trellis-coded modulation, fading channels, Reed-Solomon codes, encryption, and more Exclusive coverage of maximizing performance with advanced "turbo codes" "This is a remarkably comprehensive treatment of the field, covering in considerable detail modulation, coding both source and channel , encryption, multiple access and spread spectrum.
It can serve both as an excellent introduction for the graduate student with some background in probability theory or as a valuable reference for the practicing ommunication system engineer. For both communities, the treatment is clear and well presented. Digital Communications, Second Edition is a thoroughly revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr.
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Coverage includes: Signals and processing steps: from information source through transmitter, channel, receiver, and information sink Key tradeoffs: signal-to-noise ratios, probability of error, and bandwidth expenditure Trellis-coded modulation and Reed-Solomon codes: what's behind the math Synchronization and spread spectrum solutions Fading channels: causes, effects, and techniques for withstanding fading The first complete how-to guide to turbo codes: squeezing maximum performance out of digital connections Implementing encryption with PGP, the de facto industry standard Whether you're building wireless systems, xDSL, fiber or coax-based services, satellite networks, or Internet infrastructure, Sklar presents the theory and the practical implementation details you need.
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