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Principles of random signal analysis and low noise design : the power spectral density and its applications

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  • Describes the leading techniques for analyzing noise.
  • Discusses methods that are applicable to periodic signals, aperiodic signals, or random processes over finite or infinite intervals.
  • Provides readers with a useful reference when designing or modeling communications systems.

Author(s): Roy M Howard
Publisher: Wiley-Interscience
Year: 2002

Language: English
Pages: 321
City: New York, N.Y
Tags: Приборостроение;Обработка сигналов;Статистические методы;

Content: Principles of Random Signal Analysis and Low Noise Design
Contents
Preface
About the Author
1. Introduction
2. Background: Signal and System Theory
3. The Power Spectral Density
4. Power Spectral Density Analysis
5. Power Spectral Density of Standard Random Processes--Part 1
6. Power Spectral Density of Standard Random Processes--Part 2
7. Memoryless Transformations of Random Processes
8. Linear System Theory
9. Principles of Low Noise Electronic Design
Notation
References
Index.