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241008 ||| eng |
| 020 |
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|a 9781118393949
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| 050 |
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4 |
|a QA274
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| 100 |
1 |
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|a Shynk, John Joseph
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| 245 |
0 |
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|a Probability and random processes
|b theory and signal processing applications
|c John J. Shynk
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| 260 |
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|a Hoboken, NJ
|b Wiley
|c 2012
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| 300 |
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|a 1 online resource
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| 505 |
0 |
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|a 1 Overview and Background -- PART I Probability, Random Variables, and Expectation: 2 Probability Theory -- 3 Random Variables -- 4 Multiple Random Variables -- 5 Expectation and Moments -- PART II Random Processes, Systems, and Parameter Estimation: 6 Random Processes -- 7 Stochastic Convergence, Calculus, and Decompositions -- 8 Systems, Noise, and Spectrum Estimation -- 9 Sufficient Statistics and Parameter Estimation -- PART III Applications in Signal Processing and Communications (Online): 10 Communication Systems and Information Theory (Online) -- 11 Optimal Filtering (Online) -- 12 Adaptive Filtering (Online) -- 13: Equalization, Beamforming, and Direction Finding (Online) -- APPENDICES Introduction to Appendices: A Summaries of Univariate Parametric Distributions -- B Functions and Properties -- C Frequency-Domain Transforms and Properties -- D Integration and Integrals -- E Identities and Infinite Series -- F Inequalities and Bounds for Expectations -- G Matrix and Vector Properties
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| 653 |
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|a COMPUTERS / Programming / Algorithms / bisacsh
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| 653 |
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|a Probabilities / Textbooks
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| 653 |
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|a Probabilities / fast
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| 653 |
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|a Stochastic processes / fast
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| 653 |
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|a Engineering / Statistical methods / fast
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| 653 |
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|a Stochastic processes / Textbooks
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| 653 |
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|a Engineering / Statistical methods / Textbooks
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| 653 |
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|a MATHEMATICS / Probability & Statistics / General / bisacsh
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Includes index
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| 776 |
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|z 1118393945
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| 776 |
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|z 9781118393949
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| 776 |
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|z 9780470242094
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| 776 |
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|z 0470242094
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781118393956/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 519.5
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| 082 |
0 |
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|a 620
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| 082 |
0 |
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|a 510
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| 082 |
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|a 519.2
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| 082 |
0 |
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|a 519.2
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| 520 |
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|a "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"--
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| 520 |
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|a "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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