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Spectral Analysis of Signals

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Wang, Yanwei/ Li, Jian/ Stoica, Petre/ Moura, Jose (EDT) 作者
Morgan & Claypool
译者
2005-9 出版日期
102 页数
$ 39.55 价格
Pap
丛书系列
9781598290004 图书编码

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Spectral Analysis of Signals 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Spectral Analysis of Signals 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Spectral Analysis of Signals 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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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.

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