By Sergio Benedetto
ISBN-10: 0306457539
ISBN-13: 9780306457531
Ezio Biglieri has back written a very good textual content on electronic Communications, following his renowned booklet on TCM (Trellis-Coded Modulation). This ebook kept away from the pitfall of masking an excessive amount of fabric, yet merely slightly. do not get me mistaken: there is a lot of fine and state of the art wisdom in this e-book, however the challenge is strictly that there is a lot of good and state of the art wisdom during this booklet. I see this ebook extra alongside the notion of Proakis' "Digital Communications" e-book, that is a reference first, educational moment, even supposing this ebook is far more straightforward to learn than Proakis' book.
Although the identify indicates powerful emphasis on instant communications (which is good), many of the ebook applies to the normal concept of electronic Communications, or even features a bankruptcy on Voltaire channels (dispersive channels). There are a number of small sections at the very fresh study effects, resembling faster codes and trust propagation interpreting. this can be really nice, yet it is also very short. Too short to be a tutorial.
So in case you are searching for a substitute for Proakis' "Digital Communications", this can be a no-compromise replacement when it comes to insurance.
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Additional info for Principles of Digital Transmission: With Wireless Applications
Example text
319) in the following simple form: choose Hj if ysj 1 2 - -lsj12 = We shall now focus our attention on the problem of detecting complex signals in Gaussian noise. This situation occurs when we are dealing with narrowband signals that we want to describe using complex envelopes. 322) A different expression for the log-likelihood ratio can be derived as follows. where t E (0, T ) ,and y(t),v ( t ) ,and s(t) are complex envelopes of narrowband signals (for notational simplicity, we omit the tilde).
291) is referred to as the marimum a posterioriprobability, or MAP, rule. The structure of the ML detector is shown in Fig. 30. 22 (The integrate and-dump receiver) A simple special case of the general ML detector previously considered arises when the signal s ( t ) has a constant amplitude A in the interval 0 5 t < T . The task is then to decide between the two hypotheses upon observation of y ( t ) for 0 have 5 t < T . In this case. 294) 2. 6. Elements of detection theov 89 it is seen that, as P(e)is a monotone decreasing function of q, the error probability will decrease by increasing the level A, or by increasing the duration T of the observation interval, or by decreasing the noise spectral density.
210) expresses the fact that the spectrum of y ( t ) includes several spectral components, each centered around the frequencies fCfo, e = 0 , 1,. .. 23 illustrates qualitatively this situation. Notice that we must assume that the signals c e [ A , ( t ) ]have spectra that do not significantly extend beyond the interval (- f o / 2 , f o / 2 ) . , that centered at ff o ) . 216) 2. 5. 220) t an integer greater than 1. 24: Representation of a bandpars memoryless nonlinear system. or, in terms of complex envelopes, When y ( t ) is filtered through a zonal filter, all its frequency components other than those centered at ffo will be removed.
Principles of Digital Transmission: With Wireless Applications by Sergio Benedetto
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