Digital and Analog Communication Systems by K. Sam Shanmugan

By K. Sam Shanmugan

Presents an in depth, unified remedy of theoretical and useful points of electronic and analog communique structures, with emphasis on electronic communique platforms. Integrates theory—keeping theoretical info to a minimum—with over 60 functional, labored examples illustrating real-life tools. Emphasizes deriving layout equations that relate functionality of sensible blocks to layout parameters. Illustrates how you can exchange off among energy, band-width and kit complexity whereas preserving a suitable caliber of functionality. fabric is modularized in order that acceptable parts could be chosen to educate a number of diverse classes. comprises over three hundred difficulties and an annotated bibliography in each one bankruptcy.

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The value of the signal at a given time may be real or complex. ) 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) is called nonperiodic or aperiodic. We will encounter both periodic and nonperiodic signals in our study of communication systems. Energy and Power Signals. If a signal x(t) is a voltage across a I ohm resistor, then the instantaneous value of power is Ix(tW. The magnitude square is used here to allow the possibility of x(t) being a complex-valued signal. 2 The signal is defined to be a power signal if and only if 0 < Sx < Sx Impulse Signals. 3) There is a class of signals described by singularity func- Systems and Signals 19 lions that playa very important role in signal analysis.

In Chapter 4, we also present statistical models for discrete and continuous communication channels and establish some very important theoretical limits within which a communication system has to perform. The system designer and analyst must know these performance limits which can possibly be achieved but never exceeded. In Chapter 5 we look at methods of transmitting digital information in which the transmitted signal spectrum occupies a band of frequencies, including DC. These methods use pulse amplitude modulation (PAM) and we look at the problem of optimizing baseband PAM systems.

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