000 04378nam a2200517 i 4500
001 6267215
003 IEEE
005 20220712204600.0
006 m o d
007 cr |n|||||||||
008 151223s2003 maua ob 001 eng d
010 _z 73107986 (print)
020 _z9780262523547
_qprint
020 _a0262020602
020 _a9780262255684
_qelectronic
035 _a(CaBNVSL)mat06267215
035 _a(IDAMS)0b000064818b4199
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK5102.5
_b.B3 1970eb
082 0 0 _a621.38
100 1 _aBaggeroer, Arthur B.,
_eauthor.
_921549
245 1 0 _aState variables and communication theory /
_c[by] Arthur B. Baggeroer.
264 1 _aCambridge, Massachussets :
_bMIT Press,
_c[1970]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2003]
300 _a1 PDF (xii, 198 pages) :
_billustrations,
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aM.I.T. research monograph ;
_vno. 61
504 _aIncludes bibliographical references (p. 187-191).
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aAlthough state variable concepts are a part of modern control theory, they have not been extensively applied in communication theory. The purpose of this book is to demonstrate how the concepts and methods of state variables can be used advantageously in analyzing a variety of communication theory problems. In contrast to the impulse response and covariance function description of systems and random processes commonly used in the analysis of communication problems, Professor Baggeroer points out that a state variable approach describes these systems and processes in terms of differential equations and their excitation, which is usually a white-noise process. Theoretically, such a description provides a very general characterization on which a large class of systems, possibly time varying and nonlinear, can be modeled. Practically, the state variable approach often provides a more representative physical description of the actual dynamics of the systems involved and, most importantly, can lead to solution techniques that are readily implemented on a computer and that yield specific numerical results.The work focuses on how state variables can be used to solve several of the integral equations that recur in communication theory including, for example, the Kahunen-Loeve theorem, the detection of a known signal in the presence of a colored noise, and the Wiener-Hopf equation. The book is divided into two parts. The first part deals with the development from first principles of the state variable solution techniques for homogeneous and inhomogeneous Fredholm integral solutions. The second part considers two specific applications of the author's integral equation theory: to optimal signal design for colored noise channels, and to linear estimation theory.The main thrust of the material presented in this book is toward finding effective numerical procedures for analyzing complex problems. Professor Baggeroer has combined several different mathematical tools not commonly used together to attack the detection and signal design problems. Numerous examples are presented throughout the book to emphasize the numerical aspects of the author's methods. If the reader is familiar with detection and estimation theory and with deterministic state variable concepts, the ideas, techniques, and results contained in this work will prove highly relevant, if not directly applicable, to a large number of communication theory problems.MIT Research Monograph No. 61.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/23/2015.
650 0 _aSignal theory (Telecommunication)
_921550
650 0 _aEstimation theory.
_96303
650 0 _aControl theory.
_93950
655 0 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_921551
710 2 _aMIT Press,
_epublisher.
_921552
776 0 8 _iPrint version
_z9780262523547
830 0 _aM.I.T. research monograph ;
_vno. 61
_921553
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267215
942 _cEBK
999 _c72873
_d72873