Signals and Systems

Ziemer, Rodger E.

Tranter, William H.

Faninn, Ronald D.

Prentice Hall (Higher Education Division, Pearson Education)

Principles of Communication Systems Simulation with Wireless Applications is a hands-on, example-rich guide to simulating wireless communications systems. The first book to present complete MATLAB simulation models for predicting the impact of design changes, it treats every aspect of simulation: sampling, signal and system representations, filters, noise, Monte Carlo simulation, postprocessing, nonlinear and time-varying systems, waveform and discrete channels, co-channel interference, and more. It includes four detailed case studies.

Principles of Communication Systems Simulation with Wireless Applications

Computers & Technology

Networking & Cloud Computing

PRENTICE/HALL

Principals of communications: Systems, modulations and noise.

Principles of Communications: Systems, Modulations, and Noise

Science & Math

Technology

Houghton Mifflin School

Electrical and computer engineers need to understand the most current technologies in the field. In order to provide the latest information, the sixth edition presents a new chapter that explores the principles of digital data transmission without the complicating factor of performance in noise. It exposes readers to digital data transmission techniques earlier in the book so that they can appreciate the characteristics of digital communication systems before learning about probability and stochastic processes. They’ll also find expanded forward error correction code examples and new MATLAB problems. Electrical and computer engineers will benefit from this completely up-to-date resource.

Principles of Communications

wiley

Ziemer and Tranter provide a thorough treatment of the principles of communications at the physical layer suitable for college seniors, beginning graduate students, and practicing engineers. This is accomplished by providing overviews of the necessary background in signal, system, probability, and random process theory required for the analog and digital communications topics covered in the book. In addition to stressing fundamental concepts, the seventh edition features sections on important areas such as spread spectrum, cellular communications, and orthogonal frequency-division multiplexing. While the book is aimed at a two-semester course, more than enough material is provided for structuring courses according to students need and instructor preference.

The motivation for developing this synthesis lecture was to provide a tutorial on queuing and trunking, with extensions to networks of queues, suitable for supplementing courses in communications, stochastic processes, and networking. An essential component of this lecture is MATLAB-based demonstrations and exercises, which can be easily modified to enable the student to observe and evaluate the impact of changing parameters, arrival and departure statistics, queuing disciplines, the number of servers, and other important aspects of the underlying system model. Much of the work in this lecture is based on Poisson statistics, since Poisson models are useful due to the fact that Poisson models are analytically tractable and provide a useful approximation for many applications. We recognize that the validity of Poisson statistics is questionable for a number of networking applications and therefore we briefly discuss self-similar models and the Hurst parameter, long-term dependent models, the Pareto distribution, and other related topics. Appropriate references are given for continued study on these topics. The initial chapters of this book consider individual queues in isolation. The systems studied consist of an arrival process, a single queue with a particular queuing discipline, and one or more servers. While this allows us to study the basic concepts of queuing and trunking, modern data networks consist of many queues that interact in complex ways. While many of these interactions defy analysis, the final chapter introduces a model of a network of queues in which, after being served in one queue, customers may join another queue. The key result for this model is known as Jackson's Theorem. Finally, we state the BCMP Theorem, which can be viewed as a further extension of Jackson's Theorem and present Kleinrock's formula, which can be viewed as the network version of Little's Theorem. Table of Contents: Introduction / Poisson, Erlang, and Pareto Distributions / A Brief Introduction to Queueing Theory / Blocking and Delay / Networks of Queues

A Tutorial on Queuing and Trunking with Applications to Communications (Synthesis Lectures on Communications, 8)

MacKenzie, Allen B.

Morgan & Claypool Publishers

See the best price to sell, buy, or rent books by Tranter, William H.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Tranter, William H.