Probability, random variables, and random signal principles
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Bibliographic Information
Probability, random variables, and random signal principles
(McGraw-Hill series in electrical and computer engineering)
McGraw-Hill, 2001
4th ed
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
The fourth edition of "Probability, Random Variables and Random Signal Principles" continues the success of previous editions with its concise introduction to probability theory for the junior-senior level course in electrical engineering. The book offers a careful, logical organization which stresses fundamentals and includes almost 900 student exercises and abundant practical applications for engineers to understand probability concepts. The most important new material in this edition relates to discrete-time random processes and sequences, and other topics in the general area of digital signal processing, such as the DT linear system.
Table of Contents
- 1 Probability
- 2 The Random Variable
- 3 Operations on one Random Variable--Expectation
- 4 Multiple Random Variables
- 5 Operations of Multiple Random Variables
- 6 Random Processes-Temporal Characteristics
- 7 Random Processes-Spectral Characteristics
- 8 Linear Systems with Random Inputs
- 9 Optimum Linear Systems
- 10 Some Practical Applications of the Theory
- Appendix A Review of the Impulse Function
- Appendix B Gaussian Distribution Function
- Appendix C Useful Mathematical Quantities
- Appendix D Review of Fourier Transforms
- Appendix E Table of Useful Fourier Transforms
- Appendix F Some Probability Densities and Distributions
- Appendix G Some Mathematical Topics of Interest
by "Nielsen BookData"