Principles of random signal analysis and low noise design : the power spectral density and its applications / Roy M. Howard.
By: Howard, Roy M [author.].
Contributor(s): John Wiley & Sons [publisher.] | IEEE Xplore (Online service) [distributor.].
Material type:
BookPublisher: [Hoboken, New Jersey] : Wiley-Interscience, c2002Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2003]Description: 1 PDF (xi, 310 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780471439202.Subject(s): Electronic noise | Electronic circuits -- Noise | Power spectra | Random noise theory | Signal detection | Communication technology Signal processing Circuit theory and design | Approximation methods | Baseband | Bibliographies | Books | Communication systems | Correlation | Density functional theory | Density measurement | Equations | Fourier series | Fourier transforms | Frequency modulation | Indexes | Integral equations | Laplace equations | Linear systems | Mathematical analysis | Neodymium | Noise | Noise measurement | Oscillators | Power measurement | Probability density function | Quadrature amplitude modulation | Random processes | Random variables | Resistance | Set theory | Signal analysis | Signal resolution | Signal to noise ratio | Terminology | Time invariant systems | Transient analysis | Voltage measurement | White noiseGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 621.38224 Online resources: Abstract with links to resource Also available in print.Includes bibliographical references (p. 302-306) and index.
Preface. About the Author. Introduction. 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. Notation. References. Index.
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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.
Also available in print.
Mode of access: World Wide Web
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