Ali Koochakzadeh

2 accepted papers

2018

Non-Asymptotic Guarantees for Correlation-Aware Support Detection

ICASSP 2018accepted

This paper considers the problem of sparse support recovery in Multiple Measurement Vector (MMV) models, where the support size (K) can exceed the dimension (M) of individual measurement vectors. Existing results in this regime mostly establish asymptotic performance guarantees, where the number of…

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2017

On saturation of the Cramér Rao Bound for Sparse Bayesian Learning

Ali Koochakzadeh, Piya Pal

ICASSP 2017accepted

This paper analyzes the Cramér-Rao Bound associated with the estimation of certain sparse hyper-parameters in the Sparse Bayesian Learning (SBL) framework, that crucially control the sparsity of the desired signal. The CRB is shown to exhibit saturation with respect to the number of measurements, i.…

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