Modern Spectrum Analysis
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Modern Spectrum Analysis
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Author : Donald G. Childers
language : en
Publisher: IEEE Computer Society Press
Release Date : 1978
Modern Spectrum Analysis written by Donald G. Childers and has been published by IEEE Computer Society Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Science categories.
Modern Spectrum Analyzer Theory And Applications
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Author : Morris Engelson
language : en
Publisher:
Release Date : 1984
Modern Spectrum Analyzer Theory And Applications written by Morris Engelson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Science categories.
Fundamentals Of Spectrum Analysis
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Author : Christoph Rauscher
language : en
Publisher:
Release Date : 2007
Fundamentals Of Spectrum Analysis written by Christoph Rauscher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Spectrum analyzers categories.
Modern Spectrum Analysis
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Author : Donald G. Childers
language : en
Publisher:
Release Date : 1978
Modern Spectrum Analysis written by Donald G. Childers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with 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.
Spectrum And Network Measurements
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Author : Robert A. Witte
language : en
Publisher: SciTech Publishing
Release Date : 2001
Spectrum And Network Measurements written by Robert A. Witte and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Science categories.
This book covers the theory and practice of spectrum and network measurements in electronic systems. Areas covered include: decibels, Fourier analysis, FFT and swept analyzers, modulated signals, signal distortion, noise, pulsed waveforms, averaging and filtering, transmission lines and measurement connection techniques, two-port network theory, network analyzers, and instrument performance and specifications. Noble Publishing has reprinted the 1993 volume (from Prentice Hall) as a "classic" in the field. Witte works for Agilent Rechnologies. c. Book News Inc.
Modern Spectral Estimation
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Author : Steven M. Kay
language : en
Publisher: Prentice-Hall PTR
Release Date : 1999-03-01
Modern Spectral Estimation written by Steven M. Kay and has been published by Prentice-Hall PTR this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-01 with Education categories.
Spectral Analysis Of Signals
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Author : Yanwei Wang
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2005
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 2005 with Computers 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.
Spectral Analysis For Physical Applications
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Author : Donald B. Percival
language : en
Publisher: Cambridge University Press
Release Date : 1993-06-03
Spectral Analysis For Physical Applications written by Donald B. Percival and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-06-03 with Mathematics categories.
This book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography.
Advanced Digital Signal Processing And Noise Reduction
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Author : Saeed V. Vaseghi
language : en
Publisher: John Wiley & Sons
Release Date : 2008-12-23
Advanced Digital Signal Processing And Noise Reduction written by Saeed V. Vaseghi 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 2008-12-23 with Science categories.
Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.