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Spectral Analysis of SignalsThe Miss...
~
Li, Jian.
Spectral Analysis of SignalsThe Missing Data Case /
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Spectral Analysis of Signals/ by Yanwei Wang, Jian Li, Petre Stoica.
其他題名:
The Missing Data Case /
作者:
Wang, Yanwei.
其他作者:
Li, Jian.
面頁冊數:
VIII, 99 p.online resource.
Contained By:
Springer Nature eBook
標題:
Engineering. -
電子資源:
Fulltext (查閱電子書全文)
ISBN:
9783031025259
Spectral Analysis of SignalsThe Missing Data Case /
Wang, Yanwei.
Spectral Analysis of Signals
The Missing Data Case /[electronic resource] :by Yanwei Wang, Jian Li, Petre Stoica. - 1st ed. 2005. - VIII, 99 p.online resource. - Synthesis Lectures on Signal Processing,1932-1694. - Synthesis Lectures on Signal Processing,.
Introduction -- Linear Source Separation -- Nonlinear Separation -- Final Comments -- Statistical Concepts -- Online Software and Data.
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.
ISBN: 9783031025259
Standard No.: 10.1007/978-3-031-02525-9doiSubjects--Topical Terms:
162510
Engineering.
LC Class. No.: T1-995
Dewey Class. No.: 620
Spectral Analysis of SignalsThe Missing Data Case /
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