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- Glentis, G. -O, et al.
(author)
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Efficient spectral analysis in the missing data case using sparse ML methods
- 2014
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In: European Signal Processing Conference. - 2219-5491.
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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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