Titlebook: Digital Communication; John R. Barry,Edward A. Lee,David G. Messerschmitt Textbook 2004Latest edition Kluwer Academic Publishers 2004 Ethe

Sedative

https://doi.org/10.1007/978-94-011-4401-8 chapter we study the problem of communicating across a . channel, for which the channel input and output are vector-valued signals. In doing so, this chapter adds another impediment to the mix. Not only must a receiver contend with ISI and noise, but also with . between the inputs. Depending on the

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https://doi.org/10.1007/978-3-319-62488-4nce of noise. As shown in Fig. 12–1, . precedes the mapping of bits to symbols at the transmitter. The channel coder constrains the symbol sequence .. so that only a strict subset of all possible symbol sequences can be transmitted. There is thus redundancy in the coded sequence, which can be exploi

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https://doi.org/10.1007/978-3-319-62488-4e where the target spectral efficiency is small. This chapter treats the problem of error control when the target spectral efficiency is large. In this scenario, one might be tempted to concatenate a binary encoder with an independently designed QAM symbol mapper, but the resulting performance will

cancellous-bone

https://doi.org/10.1007/978-3-319-62488-4dependent time bases, frequently derived from crystal oscillators, as shown in Fig. 14–1. Although crystal oscillators provide extremely accurate timing references at low cost, “extremely accurate” is not adequate to maintain the integrity of discrete-time data. Timing references often have to be id

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Deterministic Signal Processing,il several specific topics that some readers may not be familiar with, including complex signals and systems, the convergence of bilateral Z-transforms, and signal-space geometry. The latter allows simple geometric interpretation of many signal processing operations, and demonstrates relationships among many seemingly disparate topics

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Stochastic Signal Processing,on medium, is random or stochastic. These phenomena cannot be predicted in advance, but they have certain predictable characteristics which can be summarized in a random process model. The design of a digital communication system heavily exploits these characteristics

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