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Spectral Analysis of Signals = The Missing Data Case /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spectral Analysis of Signals/ by Yanwei Wang, Jian Li, Petre Stoica.
Reminder of title:	The Missing Data Case /
Author:	Wang, Yanwei.
other author:	Li, Jian.
Description:	VIII, 99 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering. -
Online resource:	https://doi.org/10.1007/978-3-031-02525-9
ISBN:	9783031025259

Spectral Analysis of Signals = The Missing Data Case /
Wang, Yanwei.

Spectral Analysis of SignalsThe 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:

561152
Engineering.

LC Class. No.: T1-995

Dewey Class. No.: 620

Spectral Analysis of Signals = The Missing Data Case /
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