Signal Processing Discrete Spectral Analysis Detection And Estimation
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Signal Processing Discrete Spectral Analysis Detection And Estimation
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Author : Mischa Schwartz
language : en
Publisher: McGraw-Hill Companies
Release Date : 1975
Signal Processing Discrete Spectral Analysis Detection And Estimation written by Mischa Schwartz and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Science categories.
Signal Processing
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Author : Mischa Schwartz
language : en
Publisher:
Release Date : 1979
Signal Processing written by Mischa Schwartz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Signal theory (Telecommunication) categories.
Solutions Manual To Accompany Schwartz And Shaw Signal Processing
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Author : Mischa Schwartz
language : en
Publisher:
Release Date : 1975-01-01
Solutions Manual To Accompany Schwartz And Shaw Signal Processing written by Mischa Schwartz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975-01-01 with Signal processing categories.
Digital Spectral Analysis
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Author : S. Lawrence Marple, Jr.
language : en
Publisher: Courier Dover Publications
Release Date : 2019-03-20
Digital Spectral Analysis written by S. Lawrence Marple, Jr. and has been published by Courier Dover Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-20 with Technology & Engineering categories.
Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral estimation of discrete-time or discrete-space sequences derived by sampling continuous-time or continuous-space signals. The treatment emphasizes the behavior of each spectral estimator for short data records and provides over 40 techniques described and available as implemented MATLAB functions. In addition to summarizing classical spectral estimation, this text provides theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. Topics include Prony's method, parametric methods, the minimum variance method, eigenanalysis-based estimators, multichannel methods, and two-dimensional methods. Suitable for advanced undergraduates and graduate students of electrical engineering — and for scientific use in the signal processing application community outside of universities — the treatment's prerequisites include some knowledge of discrete-time linear system and transform theory, introductory probability and statistics, and linear algebra. 1987 edition.
Spectral Analysis Of Signals
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Author : Yanwei Wang
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2006-01-01
Spectral Analysis Of Signals written by Yanwei Wang and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Technology & Engineering categories.
Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical time series analysis to synthetic aperture radar imaging with angular diversity. For spectral estimation in the missing-data case, the challenge is how to extend the existing spectral estimation techniques to deal with these missing-data samples. Recently, nonparametric adaptive filtering based techniques have been developed successfully for various missing-data problems. Collectively, these algorithms provide a comprehensive toolset for the missing-data problem based exclusively on the nonparametric adaptive filter-bank approaches, which are robust and accurate, and can provide high resolution and low sidelobes. In this book, we present these algorithms for both one-dimensional and two-dimensional spectral estimation problems.
Higher Order Spectra Analysis
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Author : Chrysostomos L. Nikias
language : en
Publisher: Prentice Hall
Release Date : 1993
Higher Order Spectra Analysis written by Chrysostomos L. Nikias and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Science categories.
This manual will be valuable to practicing engineers who need an introduction to polyspectra from a signal processing perspective. In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectrum estimation techniques fall short.
Digital Spectral Analysis
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Author : Francis Castanié
language : en
Publisher: John Wiley & Sons
Release Date : 2013-02-04
Digital Spectral Analysis written by Francis Castanié and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-04 with Mathematics categories.
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models. An entire chapter is devoted to the non-parametric methods most widely used in industry. High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators. Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids. Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.
Sonar Signal Processing
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Author : Richard O. Nielsen
language : en
Publisher: Artech House Acoustics Library
Release Date : 1991
Sonar Signal Processing written by Richard O. Nielsen and has been published by Artech House Acoustics Library this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Technology & Engineering categories.
This discussion of sonar signal processing bridges a number of related fields, including acoustic propagation in the medium, detection and estimation theory, filter theory, digital filtering, sensor array processing, spectral analysis, fast transforms and digital signal processing. The book begins with a discussion of the topics of analogue signalling conditioning, digital filtering, and the calculation of the discrete Fourier transform. Other topics discussed include analogue filters and analogue-to-digital conversion, finite impulse and infinite impulse response digital filters, and multirate processing techniques.
Generalizations Of Cyclostationary Signal Processing
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Author : Antonio Napolitano
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-07
Generalizations Of Cyclostationary Signal Processing written by Antonio Napolitano and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-07 with Technology & Engineering categories.
The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar. Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains. Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes. Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators. Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.
Cyclostationary Processes And Time Series
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Author : Antonio Napolitano
language : en
Publisher: Academic Press
Release Date : 2019-10-24
Cyclostationary Processes And Time Series written by Antonio Napolitano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Technology & Engineering categories.
Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals Performs signal analysis using both the classical stochastic process approach and the functional approach for time series Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization Includes algorithms for cyclic spectral analysis along with Matlab/Octave code Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data