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.
About the Author.
Background: Signal and System Theory.
The Power Spectral Density.
Power Spectral Density Analysis.
Power Spectral Density of Standard Random Processes––Part 1.
Power Spectral Density of Standard Random Processes––Part 2.
Memoryless Transformations of Random Processes.
Linear System Theory.
Principles of Low Noise Electronic Design.