Probability, random variables, and random signal principles - Info and Reading Options
By Peyton Z. Peebles
"Probability, random variables, and random signal principles" was published by McGraw-Hill in 1993 - New York, the book is classified in bibliography genre, it has 401 pages and the language of the book is English.
“Probability, random variables, and random signal principles” Metadata:
- Title: ➤ Probability, random variables, and random signal principles
- Author: Peyton Z. Peebles
- Language: English
- Number of Pages: 401
- Publisher: McGraw-Hill
- Publish Date: 1993
- Publish Location: New York
- Genres: bibliography
- Dewey Decimal Classification: 519.2
- Library of Congress Classification: TA340 .P43 1993
“Probability, random variables, and random signal principles” Subjects and Themes:
- Subjects: ➤ Probabilities - Signal theory (Telecommunication) - Random variables - Probability - Stochastisches Signal - Zufallsvariable - Wahrscheinlichkeitstheorie - Operations Research - Ta340 .p43 1993 - 519.2 - Ta340 .p43 2001
Edition Specifications:
- Number of Pages: xxiii, 401 p. : ill. ; 25 cm.
- Pagination: xxiii, 401 p. :
Edition Identifiers:
- The Open Library ID: OL1726075M - OL2726138W
- Online Computer Library Center (OCLC) ID: 26400444
- Library of Congress Control Number (LCCN): 92030122 - ^^^92030122^
- ISBN-10: 0070492735
- All ISBNs: 0070492735
AI-generated Review of “Probability, random variables, and random signal principles”:
"Probability, random variables, and random signal principles" Table Of Contents:
- 1- Chapt.1 Probability
- 2- Chapt.7 Spectral Characteristics of Random Processes
"Probability, random variables, and random signal principles" Description:
Harvard Library:
Today, any well-designed electrical engineering curriculum must train engineers to account for noise and random signals in systems. The best approach is to emphasize fundamental principles since systems can vary greatly. Professor Peebles's book specifically has this emphasis, offering clear and concise coverage of the theories of probability, random variables, and random signals, including the response of linear networks to random waveforms. By careful organization, the book allows learning to flow naturally from the most elementary to the most advanced subjects. Time domain descriptions of the concepts are first introduced, followed by a thorough description of random signals using frequency domain. Practical applications are not forgotten, and the book includes discussions of practical noises (noise figures and noise temperatures) and an entire special chapter on applications of the theory. Another chapter is devoted to optimum networks when noise is present (matched filters and Wiener filters). This third edition differs from earlier editions mainly in making the book more useful for classroom use. Beside the addition of new topics (Poisson random processes, measurement of power spectra, and computer generation of random variables), the main change involves adding many new end-of-chapter exercises (180 were added for a total of over 800 exercises). The new exercises are all clearly identified for instructors who have used the previous edition.
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- Harvard University Library: Location: Cabot Science Library, Harvard University - Shelf Numbers: TA340 .P43 1993
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