Conference proceeding
Two step recovery of jointly sparse and low-rank matrices: Theoretical guarantees
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), Vol.2015-, pp.914-917
04/2015
DOI: 10.1109/ISBI.2015.7164019
Abstract
We introduce a two step algorithm with theoretical guarantees to recover a jointly sparse and low-rank matrix from undersampled measurements of its columns. The algorithm first estimates the row subspace of the matrix using a set of common measurements of the columns. In the second step, the subspace aware recovery of the matrix is solved using a simple least square algorithm. The results are verified in the context of recovering CINE data from undersampled measurements; we obtain good recovery when the sampling conditions are satisfied.
Details
- Title: Subtitle
- Two step recovery of jointly sparse and low-rank matrices: Theoretical guarantees
- Creators
- Sampurna Biswas - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USASunrita Poddar - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USASoura Dasgupta - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USARaghuraman Mudumbai - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USAMathews Jacob - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), Vol.2015-, pp.914-917
- DOI
- 10.1109/ISBI.2015.7164019
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Publisher
- IEEE
- Language
- English
- Date published
- 04/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070711502771
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