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001 978-0-387-24158-6
003 DE-He213
005 20200712171055.0
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020 _a9780387241586
_9978-0-387-24158-6
024 7 _a10.1007/b104645
_2doi
050 4 _aTK1-9971
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aKay, Steven.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntuitive Probability and Random Processes using MATLAB®
_h[electronic resource] /
_cby Steven Kay.
250 _a1st ed. 2006.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Springer,
_c2006.
300 _aXVIII, 834 p. 294 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aComputer Simulation -- Basic Probability -- Conditional Probability -- Discrete Random Variables -- Expected Values for Discrete Random Variables -- Multiple Discrete Random Variables -- Conditional Probability Mass Functions -- Discrete N-Dimensional Random Variables -- Continuous Random Variables -- Expected Values for Continuous Random Variables -- Multiple Continuous Random Variables -- Conditional Probability Density Functions -- Continuous N-Dimensional Random Variables -- Probability and Moment Approximations Using Limit Theorems -- Basic Random Processes -- Wide Sense Stationary Random Processes -- Linear Systems and Wide Sense Stationary Random Processes -- Multiple Wide Sense Stationary Random Processes -- Gaussian Random Processes -- Poisson Random Processes -- Markov Chains.
520 _aIntuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.
650 0 _aElectrical engineering.
650 0 _aComputer software.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aSignal processing.
650 0 _aImage processing.
650 0 _aSpeech processing systems.
650 0 _aProbabilities.
650 0 _aFourier analysis.
650 1 4 _aCommunications Engineering, Networks.
_0http://scigraph.springernature.com/things/product-market-codes/T24035
650 2 4 _aMathematical Software.
_0http://scigraph.springernature.com/things/product-market-codes/M14042
650 2 4 _aMathematical and Computational Engineering.
_0http://scigraph.springernature.com/things/product-market-codes/T11006
650 2 4 _aSignal, Image and Speech Processing.
_0http://scigraph.springernature.com/things/product-market-codes/T24051
650 2 4 _aProbability Theory and Stochastic Processes.
_0http://scigraph.springernature.com/things/product-market-codes/M27004
650 2 4 _aFourier Analysis.
_0http://scigraph.springernature.com/things/product-market-codes/M12058
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387504421
776 0 8 _iPrinted edition:
_z9780387241579
776 0 8 _iPrinted edition:
_z9781489977335
856 4 0 _uhttps://doi.org/10.1007/b104645
912 _aZDB-2-ENG
999 _c18004
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942 _cebook