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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-IEEE Press
Year: 2002

Language: English
Pages: 321

Principles of Random Signal Analysis & Low Noise Design......Page 1
Copyright......Page 4
Contents......Page 5
Preface......Page 9
About the Author......Page 11
Ch1 Introduction......Page 12
Ch2 Background: Signal & System Theory......Page 14
Ch3 Power Spectral Density......Page 70
Ch4 Power Spectral Density Analysis......Page 103
Ch5 Power Spectral Density of Standard Random Processes--Part 1......Page 149
Ch6 Power Spectral Density of Standard Random Processes--Part 2......Page 190
Ch7 Memoryless Tansformations of Random Processes......Page 217
Ch8 Linear System Theory......Page 240
Ch9 Principles of Low Noise Electronic Design......Page 267
Notation......Page 311
References......Page 313
Index......Page 318