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Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and Its Applications
Contributor(s): Howard, Roy M. (Author)
ISBN: 0471226173     ISBN-13: 9780471226178
Publisher: Wiley-IEEE Press
OUR PRICE:   $170.95  
Product Type: Hardcover - Other Formats
Published: August 2002
Qty:
Annotation: Randomness in communication and low noise electronic design-a thorough and accessible account

Random fluctuations are inherent in all electronic circuits, and communication signals are nondeterministic from a receiver perspective. Accordingly, the optimization of electronic circuits and communication systems requires techniques for characterizing random signals. Foremost among these is the power spectral density.

Principles of Random Signal Analysis and Low Noise Design presents, from a thorough signal theory basis, a comprehensive and straightforward account of the power spectral density and its applications. The author:

  • Details the power spectral density of the significant random signal forms
  • Illustrates theory with examples from communications and electronic circuit design
  • Presents a unified account for the power spectral density which encompasses periodic signals, aperiodic signals, and random processes, over finite and infinite intervals

Howard's systematic approach, his systematic account of the power spectral density, his coverage of the significant random signal forms, and his account of low noise design make this an important reference for researchers, for students of electrical and electronic engineering, and for engineers involved in the design or modeling of communications systems or solid state circuitry.

Additional Information
BISAC Categories:
- Technology & Engineering | Telecommunications
- Technology & Engineering | Electrical
Dewey: 621.382
LCCN: 2003266345
Series: Wiley - IEEE
Physical Information: 0.84" H x 6.34" W x 9.54" (1.29 lbs) 328 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
  • 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.