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Special integral functions used in w...

Savischenko, Nikolay V.

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Special integral functions used in wireless communications theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Special integral functions used in wireless communications theory/ Nikolay V. Savischenko.
Author:	Savischenko, Nikolay V.
Published:	New Jersey :World Scientific, : 2014.,
Description:	1 online resource (xvi, 621 p.) :ill.
Subject:	Calculus, Integral. -
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/9168#t=toc
ISBN:	9789814603225 (electronic bk.)

Special integral functions used in wireless communications theory
Savischenko, Nikolay V.

Special integral functions used in wireless communications theory[electronic resource] /Nikolay V. Savischenko. - New Jersey :World Scientific,2014. - 1 online resource (xvi, 621 p.) :ill.

Includes bibliographical references and index.

This monograph summarizes the special functions needed in the performance analysis of wireless communications systems. On the basis of special Gaussian and Owen functions, the methodology for the calculation of the relationship for symbol and bit error probabilities with coherent reception, for the two-dimensional multi-positional signal constructions in communications channel with deterministic parameters and additive white Gaussian noise (AWGN), was developed. To explain the concepts, examples are provided after the mathematical proofs to illustrate how the theorems could be applied; this includes symbol and bit error probability formulas receiving for present signal constructions (QAM, PSK, APSK and HEX), and error probability dependencies from signal-to-noise ratio (SNR). There are many books in communications theory dealing with several topics covered in this monograph, but none has consolidated all error probability calculations in a single book. This book therefore serves a very niche area. This text is written for graduate students, researchers, and professionals specializing in wireless communications and electrical engineering; dealing with probability and statistics, approximation, and analysis & differential equations.

ISBN: 9789814603225 (electronic bk.)

LCCN: 2014007316Subjects--Topical Terms:

706104
Calculus, Integral.

/ .S28 2014

Dewey Class. No.: 621.384015154

Special integral functions used in wireless communications theory
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245 1 0 $a Special integral functions used in wireless communications theory $h [electronic resource] / $c Nikolay V. Savischenko.
260 $a New Jersey : $b World Scientific, $c 2014.
300 $a 1 online resource (xvi, 621 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a This monograph summarizes the special functions needed in the performance analysis of wireless communications systems. On the basis of special Gaussian and Owen functions, the methodology for the calculation of the relationship for symbol and bit error probabilities with coherent reception, for the two-dimensional multi-positional signal constructions in communications channel with deterministic parameters and additive white Gaussian noise (AWGN), was developed. To explain the concepts, examples are provided after the mathematical proofs to illustrate how the theorems could be applied; this includes symbol and bit error probability formulas receiving for present signal constructions (QAM, PSK, APSK and HEX), and error probability dependencies from signal-to-noise ratio (SNR). There are many books in communications theory dealing with several topics covered in this monograph, but none has consolidated all error probability calculations in a single book. This book therefore serves a very niche area. This text is written for graduate students, researchers, and professionals specializing in wireless communications and electrical engineering; dealing with probability and statistics, approximation, and analysis & differential equations.
588 $a Description based on print version record.
650 0 $a Calculus, Integral. $3 706104
650 0 $a Signal processing $x Mathematics. $3 579697
650 0 $a Wireless communication systems $x Mathematical models. $3 923148
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/9168#t=toc