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

interlude

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Probabilistic Detection,ign is reasonably robust in the presence of noise, but two questions arise: when is it optimal? And what should be done when it is not? In this chapter we start with the statistics of the noise and develop a theory of optimal detection for both discrete-time and continuous-time channels. With this t

habile

Equalization,nterfere with one another. The Nyquist criterion specifies a condition on the received pulses under which there is no ISI. Generally this or a similar condition is not satisfied unless we . the channel, meaning roughly that we filter to compensate for the channel distortion. Unfortunately, any equal

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MIMO Communications, 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