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  • Glentis, G. -O, et al. (author)
  • Efficient spectral analysis in the missing data case using sparse ML methods
  • 2014
  • In: European Signal Processing Conference. - 2219-5491.
  • Conference paper (peer-reviewed)abstract
    • Given their wide applicability, several sparse high-resolution spectral estimation techniques and their implementation have been examined in the recent literature. In this work, we further the topic by examining a computationally efficient implementation of the recent SMLA algorithms in the missing data case. The work is an extension of our implementation for the uniformly sampled case, and offers a notable computational gain as compared to the alternative implementations in the missing data case.
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Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Li, J. (1)
Jakobsson, Andreas (1)
Karlsson, Johan (1)
Glentis, G. -O (1)
University
Royal Institute of Technology (1)
Lund University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year

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