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Spectral Analysis of Signals: The Missing Data Case (Synthesis Lectures on Signal Processing)
Spectral Analysis of Signals The Missing Data Case - Synthesis Lectures on Signal Processing Author:Yanwei Wang, Jian Li, Petre Stoica 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 wit... more »h 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).« less