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The cover of “Probability, Random Variables, and Random Signal Principles” - Open Library.
Probability, Random Variables, and Random Signal Principles - cover - The Open Library
Book's cover - The Open Library
Probability, Random Variables, and Random Signal Principles - cover - Google Books
Book's cover - Google Books

"Probability, Random Variables, and Random Signal Principles" was published by McGraw-Hill in 1987 - New York, the book is rated 3/5 in google books from 1 ratings, the book is classified in Mathematics genre, it has 349 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:
  • Language: English
  • Google Books Rating: 3/5 from 1 Ratings.
  • Number of Pages: 349
  • Is Family Friendly: Yes - No Mature Content
  • Publisher: McGraw-Hill
  • Publish Date:
  • Publish Location: New York
  • Genres: Mathematics

“Probability, Random Variables, and Random Signal Principles” Subjects and Themes:

Edition Specifications:

  • Pagination: xvii, 349 p. :

Edition Identifiers:

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"Probability, Random Variables, and Random Signal Principles" Table Of Contents:

  • 1- Probability
  • 2- Index

Snippets and Summary:

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.

"Probability, Random Variables, and Random Signal Principles" Description:

Google Books:

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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