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020 _a9780387241586
_9978-0-387-24158-6
024 7 _a10.1007/b104645
_2doi
035 _avtls000330025
039 9 _a201509031109
_bVLOAD
_c201405070455
_dVLOAD
_c201401311326
_dstaff
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_x446
050 4 _aTK5102.9
100 1 _aKay, Steven M.
_eautor
_9302229
245 1 0 _aIntuitive Probability and Random Processes Using MATLAB® /
_cby Steven M. Kay.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aXVIII, 833 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387241579
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b104645
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c278530
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