Digital Communication by Edward A. Lee, David G. Messerschmitt (auth.)

By Edward A. Lee, David G. Messerschmitt (auth.)

This publication matters electronic communique. in particular, we deal with the delivery of bit streams from one geographical position to a different over a variety of actual media, reminiscent of twine pairs, coaxial cable, optical fiber, and radio waves. additional, we conceal the mul­ tiplexing, a number of entry, and synchronization concerns suitable to developing com­ munication networks that at the same time shipping bit streams from many clients. the cloth during this publication is therefore at once suitable to the layout of a mess of electronic conversation platforms, together with for instance neighborhood and metropolitan quarter facts web­ works, voice and video telephony platforms, the built-in providers electronic community (ISDN), computing device communique structures, voiceband facts modems, and satellite tv for pc communique structures. We extract the typical ideas underlying those and different purposes and current them in a unified framework. This ebook is meant for designers and would-be designers of electronic verbal exchange platforms. to restrict the scope to workable proportions now we have needed to be selective within the themes coated and within the intensity of insurance. on the subject of complex info, coding, and detection conception, for instance, we haven't attempted to copy the in-depth insurance of many complicated textbooks, yet quite have attempted to hide these facets without delay suitable to the layout of electronic verbal exchange systems.

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73) is valid can be inferred from the following exercise, which can be solved using similar techniques to those used in appendix 3-A. Exercise 3-12. Show that the power spectrum of E (t) is SEUro) = ~ T IHUro)12 L m;tO SxU(ro+m 2;»IFU(ro+m 2;»1 2 + 11- ~HUro)FUro)12SxUro). 74), the first term is aliasing distortion resulting from a signal at the output of the anti-aliasing filter if it is not sufficiently bandlimited. In particular, if H U ro) = 0 and F U ro) = 0 for I ro I ~ 1tIT then this term is identically zero.

Papoulis. The Fourier Integral and its Applications. • New York (1962). 9. R. N. • New York (1965). STOCHASTIC SIGNAL PROCESSING Although modulation and demodulation are deterministic, the information to be transmitted over a communication system, as well as the noise encountered in the physical transmission media, is random or stochastic. Although these phenomena cannot be predicted in advance, they have certain predictable characteristics which can be summarized in the random process model. The design of a digital communication system heavily exploits these characteristics.

Prentice-Hall. Inc. (1975). 5. 6. L. Jackson. Digital Filters and Signal Processing. Kluwer Academic Publishers. Boston. MA (1985). 7. R. J. Schwarz and B. Friedland. Linear Systems. McGraw-Hill Book Co. (1965). 8. A. Papoulis. The Fourier Integral and its Applications. • New York (1962). 9. R. N. • New York (1965). STOCHASTIC SIGNAL PROCESSING Although modulation and demodulation are deterministic, the information to be transmitted over a communication system, as well as the noise encountered in the physical transmission media, is random or stochastic.

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