MARC Record from Library of Congress

LEADER: 02055cam a22003254a 4500
001 2011051386
003 DLC
005 20120425102459.0
008 111213s2012 waua b 001 0 eng
010 $a 2011051386
020 $a9780819487018
020 $a0819487015
035 $a(OCoLC)ocn768418017
040 $aDLC$beng$cDLC$dSPIES$dTXA$dDLC
042 $apcc
050 00 $aQA300$b.A5583 2012
082 00 $a519.2$223
100 1 $aAndrews, Larry C.
245 10 $aField guide to probability, random processes, and random data analysis /$cLarry C. Andrews, Ronald L. Phillips.
260 $aBellingham, Wash. :$bSPIE Press,$c2012.
300 $axi, 94 p. :$bill. ;$c21 cm.
490 0 $aSPIE field guides ;$vv. FG22
504 $aIncludes bibliographical references (p. 90) and index.
505 0 $aProbability: one random variable -- Conditional probabilities -- Probability: two random variables -- Sums of N complex random variables -- Random processes -- Random fields -- Transformations of random processes -- Random data analysis -- Equation summary.
520 $aMathematical theory developed in basic courses in engineering and science usually involves deterministic phenomena, and such is the case in solving a differential equation that describes some linear system where both the input and output are deterministic quantities. In practice, however, the input to a linear system, like an imaging system or radar system, may contain a "random" quantity that yields uncertainty about the output. Such systems must be treated by probabilistic methods rather than deterministic methods. For this reason, probability theory and random process theory have become indispensable tools in the mathematical analysis of these kinds of engineering systems. Topics included in this Field Guide are basic probability theory, random processes, random fields, and random data analysis.
650 0 $aMathematical analysis.
650 0 $aProbabilities.
650 0 $aRandom data (Statistics)
700 1 $aPhillips, Ronald L.
710 2 $aSPIE (Society)