Probability and random processes with applications to signal processing and communications
Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing eng...
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Format: | eBook |
Language: | English |
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Waltham, MA
Academic Press
©2012, 2012
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Edition: | 2nd ed |
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Online Access: | |
Collection: | Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- Preface
- 1. Introduction
- 2. Introduction to Probability Theory
- 3. Random Variables, Distributions and Density Functions
- 4. Operations on a Single Random Variable
- 5. Pairs of Random Variables
- 6. Multiple Random Variables
- 7. Random Sequences and Series
- 8. Random Processes
- 9. Markov Processes
- 10. Power Spectral Density
- 11. Random Processes in Linear Systems
- 12. Simulation Techniques
- Appendices