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Probability, random variables, and random processes : theory and signal processing applications / John J. Shynk.

By: Material type: TextTextPublication details: New Jersey : John Wiley, c2013.Description: xxvi, 768 p. : ill. ; 26 cmISBN:
  • 9780470242094 (hardback)
Subject(s): DDC classification:
  • 519.2 23 Sh562
Contents:
1. Overview and background-- 2. Probability theory-- 3.Random variables-- 4. Multiple random variables-- 5. Expectation and moments-- 6. Random processes-- 7. Stochastic convergence, calculus, and decompositions-- 8. Systems, noise, and spectrum estimation-- 9. Sufficient statistics and parameter estimation-- Appendices-- References-- Index-- 10. Communication systems and information theory-- 11. Optimal filtering-- 12. Adaptive filtering-- 13. Equalization, beamforming, and direction finding--
Summary: "Probability is ubiquitous in every branch of science and engineering. This text on probability and random processes assumes basic prior knowledge of the subject at the undergraduate level. Targeted for first- and second-year graduate students in engineering, the book provides a more rigorous understanding of probability via measure theory and fields and random processes, with extensive coverage of correlation and its usefulness. The book also provides the background necessary for the study of such topics as digital communications, information theory, adaptive filtering, linear and nonlinear estimation and detection, and more"--Summary: "The proposed book is a textbook on probability and random processes for first- and second-year graduate students in engineering. It will assume basic prior knowledge of probability and random processes at the undergraduate level"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.2 Sh562 (Browse shelf(Opens below)) Available 135966
Total holds: 0

Includes bibliographical references (p. 743-753) and index.

1. Overview and background--
2. Probability theory--
3.Random variables--
4. Multiple random variables--
5. Expectation and moments--
6. Random processes--
7. Stochastic convergence, calculus, and decompositions--
8. Systems, noise, and spectrum estimation--
9. Sufficient statistics and parameter estimation--
Appendices--
References--
Index--
10. Communication systems and information theory--
11. Optimal filtering--
12. Adaptive filtering--
13. Equalization, beamforming, and direction finding--

"Probability is ubiquitous in every branch of science and engineering. This text on probability and random processes assumes basic prior knowledge of the subject at the undergraduate level. Targeted for first- and second-year graduate students in engineering, the book provides a more rigorous understanding of probability via measure theory and fields and random processes, with extensive coverage of correlation and its usefulness. The book also provides the background necessary for the study of such topics as digital communications, information theory, adaptive filtering, linear and nonlinear estimation and detection, and more"--

"The proposed book is a textbook on probability and random processes for first- and second-year graduate students in engineering. It will assume basic prior knowledge of probability and random processes at the undergraduate level"--

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