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Probability, random variables, and random signal principles

This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured t...

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Detalles Bibliográficos
Autor principal: Peebles, Peyton Z
Lenguaje:eng
Publicado: McGraw Hill 1987
Materias:
Acceso en línea:http://cds.cern.ch/record/2705970
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author Peebles, Peyton Z
author_facet Peebles, Peyton Z
author_sort Peebles, Peyton Z
collection CERN
description This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters.
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institution Organización Europea para la Investigación Nuclear
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publishDate 1987
publisher McGraw Hill
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spelling cern-27059702021-04-21T18:11:53Zhttp://cds.cern.ch/record/2705970engPeebles, Peyton ZProbability, random variables, and random signal principlesEngineeringMathematical Physics and MathematicsThis concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters.McGraw Hilloai:cds.cern.ch:27059701987
spellingShingle Engineering
Mathematical Physics and Mathematics
Peebles, Peyton Z
Probability, random variables, and random signal principles
title Probability, random variables, and random signal principles
title_full Probability, random variables, and random signal principles
title_fullStr Probability, random variables, and random signal principles
title_full_unstemmed Probability, random variables, and random signal principles
title_short Probability, random variables, and random signal principles
title_sort probability, random variables, and random signal principles
topic Engineering
Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2705970
work_keys_str_mv AT peeblespeytonz probabilityrandomvariablesandrandomsignalprinciples