Probability: Random Variables and Random Signal – Peyton Peebles – 4th Edition


The fourth edition of “, Random Variables and Principles” continues the success of previous editions with its concise introduction to probability theory for the junior-senior level course in . The offers a careful, logical organization which stresses fundamentals and includes almost 900 exercises and abundant practical applications for to understand probability concepts.

The most important new material in this edition relates to discrete-time random and sequences, and other topics in the general area of digital , such as the DT linear .

Table of Content

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

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