Abstract
The iterative adaptive approach (IAA) is a spectral estimation algorithm that provides high resolution estimates with as little as a single snapshot. However, IAA is not a sparsity promoting algorithm which might be desirable in specific applications. In this work, we present two approaches for producing sparse IAA estimates. We examine the performance using a source localization example.
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