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- Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher
- IEEE Journal of Selected Topics in Signal…
- 2016

The problem of recovering a structured signal x ∈ C<sup>p</sup> from a set of dimensionality-reduced linear measurements b = Ax arises in a variety of applications, such as medical imaging, spectroscopy, Fourier optics, and computerized tomography. Due to computational and storage complexity or physical constraints imposed by the problem, the… (More)

- Baran Gözcü, Afsaneh Asaei, Volkan Cevher
- 2013 5th IEEE International Workshop on…
- 2013

We consider the minimum variance distortionless response (MVDR) beamforming problems where the array covariance matrix is rank deficient. The conventional approach handles such rank-deficiencies via diagonal loading on the covariance matrix. In this setting, we show that the array weights for optimal signal estimation can admit a sparse representation on… (More)

- Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gözcü
- 2014 IEEE International Conference on Acoustics…
- 2014

Choosing a distance preserving measure or metric is fundamental to many signal processing algorithms, such as k-means, nearest neighbor searches, hashing, and compressive sensing. In virtually all these applications, the efficiency of the signal processing algorithm depends on how fast we can evaluate the learned metric. Moreover, storing the chosen metric… (More)

- Baran Gözcü, Luca Baldassarre, Quoc Tran-Dinh, Cosimo Aprile, Volkan Cevher
- 2015 23rd European Signal Processing Conference…
- 2015

Effectively solving many inverse problems in engineering requires to leverage all possible prior information about the structure of the signal to be estimated. This often leads to tackling constrained optimization problems with mixtures of regularizers. Providing a general purpose optimization algorithm for these cases, with both guaranteed convergence rate… (More)

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