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Bestselling Series. Harry Potter. Popular Features. New Releases. Principles of Digital Communication and Coding. Notify me. Description Written by two distinguished experts in the field of digital communications, this classic text remains a vital resource three decades after its initial publication. Its treatment is geared toward advanced students of communications theory and to designers of channels, links, terminals, modems, or networks used to transmit and receive digital messages.
Principles of Digital Communication and Coding (Dover Books on Electrical Engineering)
The three-part approach begins with the fundamentals of digital communication and block coding, including an analysis of block code ensemble performance. The second part introduces convolutional coding, exploring ensemble performance and sequential decoding. The final section addresses source coding and rate distortion theory, examining fundamental concepts for memoryless sources as well as precepts related to memory, Gaussian sources, and universal coding.
Appendixes of useful information appear throughout the text, and each chapter concludes with a set of problems, the solutions to which are available online. Product details Format Paperback pages Dimensions People who viewed this also viewed. Mathematical Theory of Computation Zohar Manna. Add to basket. Optimal Control Theory Donald E. Introduction to Electromagnetic Engineering Roger F. The Victorian Internet Tom Standage. Microwave Transistor Amplifiers Guillermo Gonzalez. Reinventing Hollywood David Bordwell.
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Principles of Digital Communication and Coding
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Principles of Digital Communication and Coding
Regulations, Institutions, and Commitment Randall Calvert. The channel IS memoryless if output symbol sets.
Written out the matri. The block diagram of Figure is suggestive of a propagation channel, although it might be applicable to other types of channels as well. These are enumerated here for convenience in later discussions. Additive noise, which usually denotes a random waveform due to the chaotic motion of charge carriers. Interference, typically denoting random waveforms due to other communication sources or human-made noise such as power line corona discharge at the channel input.
Deterministic signal processing, which may include linear filtering, frequency translation, and so on. Multiplication by an attenuation factor, f3 t , which may be a function of time that is independent of the signal often referred to as fading. Additive noise or interference at the channel output.
Addition of other channel outputs that are secondary in nature examples are multipath signals and signals from other sources that mayor may not be intentional. Note that all the perturbations shown in Figure result in a linear channel as far as the input signal is concerned. That is, noise and interference terms are additive or, if multiplicative, are independent of the signal. Furthermore, the signal processing is assumed to be a linear operation.
Consequently, linear channel models are focused on in this book. Two specific types of channels will now be discussed to illustrate the applications of the general model shown in Figure EXAMPLE As a first example of the application of the channel model shown in Figure , consider the block diagram of Figure , which illustrates a satellite relay link. Transmission up to the satellite is effected by a carrier of frequency II' and the noise nl t represents noise added in this portion of the transmission, which is usually due primarily to the input stages of the satellite retransmission system.
The function of the satellite retransmission, or relay, is to amplify the received signal and translate it in frequency to a new spectral location suitable for 14A system is linear if superposition holds; i.
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E les of the former mc u e so. The modeling 0 IS noise IS, , due to its highly variable natu:e. There are several treatises on the physical description and characterization of such noise see, e. A short summary of its statistical description in terms of noise figure and noise temperature is given in Appendix B. In addition to additive noise, which is represented by net in the figure, an indirect transmission path, commonly referred to as multi path, exists.
Thus the equation relating channel input to output is where a1 and a2 are constants referred to as the attenuations of the direct and indirect transmission paths, respectively, and TI and T2 are their respective delays. This channel model is an extremely simple one and yet, by virtue of the multipath term, results in two signaJ perturbations, known as intersymbol interference lSI and fading, either one of which can introduce severe performance degradations.
To illustrate the idea of lSI, consider Figure , which illustrates received binary data signals from the direct and indirect paths after demodulation.