ENGLISH

Spectral Analysis of Signals - The Missing Data Case

By Petre Stoica , Yanwei Wang , Jian Li , Jose Moura

Book information

Publisher
Morgan & Claypool Publishers
Year
2005
ISBN
1598290002, 9781598290004
Language
english
Format
PDF
Filesize
3 MB (3097258 bytes)
Series
Synthesis Lectures on Signal Processing
Pages
103\103
Library
kolxoz
Time added
2010-02-18 13:16:04

Description

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, 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 a wide range of applications. In this book, the authors present the recently developed nonparametric adaptive filtering based algorithms for the missing-data case, namely gapped-data APES (GAPES) and the more general missing-data APES (MAPES).

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