Download PDF by K. Sam Shanmugan: Digital and Analog Communication Systems

By K. Sam Shanmugan

ISBN-10: 0471030902

ISBN-13: 9780471030904

Presents an in depth, unified remedy of theoretical and useful features of electronic and analog conversation platforms, with emphasis on electronic conversation platforms. Integrates theory—keeping theoretical info to a minimum—with over 60 functional, labored examples illustrating real-life equipment. Emphasizes deriving layout equations that relate functionality of sensible blocks to layout parameters. Illustrates tips to alternate off among strength, band-width and kit complexity whereas holding a suitable caliber of functionality. fabric is modularized in order that applicable parts could be chosen to educate numerous assorted classes. comprises over three hundred difficulties and an annotated bibliography in each one bankruptcy.

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Are real valued. However. we will often use complex notation to treat real-valued signals since certain mathematical models and calculations are somewhat simplified if we use complex notation. With this brief introduction, let us look at a few methods of classifying signals and systems. 1 ClassIficatIon of SIgnals DetermInistic and Random Signals. In communication systems, we encounter two broad classes of signals referred to as deterministic and Input signal x(t) .. 1 system. Block diagram representation of a 18 Systems and Signal Analysis random signals.

13) Noncausal systems do not satisfy the condition given above. They do not exist in the real world but can be approximated by the use of time delay. The classification of systems and signals given above will help us in finding a suitable mathematical model for a given system that is to be analyzed. 2 21 SIGNAL REPRESEN'rATION USING FOURIER SERIES The communication systems engineer is often concerned with the signal location in the frequency domain and the signal bandwidth rather than transient analysis.

4. Find the Fourier transform of the sign (or signum) function defined as for t > 0 sgn(t) = t = -1 for t < 0 ItI {I I 11 '. 5 Amplitude and phase spectrum of a rectangular pulse. (a) Amplitude spectrum. (b) Phase spectrum. Solution. The sign function is one of many power signals for which the Fourier transform exists. In many such cases, the Fourier transform is obtained by a limiting process. For example, define x(t, a) to be x(t, a) = exp(- altl) sgn(t), a> 0 Then lim x(t, a) = sgn(t), and we may attempt to obtain the Fourier transform a-oO of sgn(t) from the Fourier transform of x(t, a) by letting a F{x(t, a)} = L~x(t, o.

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Digital and Analog Communication Systems by K. Sam Shanmugan


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