Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications (Wiley - IEEE)

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.

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.

Booknews

This graduate textbook defines the power spectral density using results directly from Fourier theory, and presents applications in communications and electronics. The Australian author details memoryless transformations of random processes, the relationship between the input and output of a linear time invariant system, and the minimization of noise in a linear electronic system. Annotation c. Book News, Inc., Portland, OR

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.