Projects per year
Abstract / Description of output
In this paper we consider the problem of recovering a signal x of size N from noisy and compressed measurements y = Ax + w of size M, where the measurement matrix A is right-orthogonally invariant (ROI). Vector Approximate Message Passing (VAMP) demonstrates great reconstruction results for even highly ill-conditioned matrices A in relatively few iterations. However, performing each iteration is challenging due to either computational or memory point of view. On the other hand, a recently proposed Conjugate Gradient (CG) Expectation Propagation (CG-EP) framework is able to sacrifice some performance for efficiency, but requires access to exact singular spectrum of A. In this work we develop a CG-VAMP algorithm that does not require such information, is feasible to implement and converges to the neighborhood of the original VAMP.
Original language | English |
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Title of host publication | ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Publisher | Institute of Electrical and Electronics Engineers |
Volume | 2020 |
ISBN (Electronic) | 978-1-5090-6631-5 |
ISBN (Print) | 978-1-5090-6632-2 |
DOIs | |
Publication status | Published - 14 May 2020 |
Event | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing - Barcelona, Spain Duration: 4 May 2020 → 8 May 2020 Conference number: 45 |
Publication series
Name | International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
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Publisher | IEEE Xplore |
ISSN (Print) | 1520-6149 |
ISSN (Electronic) | 2379-190X |
Conference
Conference | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Abbreviated title | ICASSP 2020 |
Country/Territory | Spain |
City | Barcelona |
Period | 4/05/20 → 8/05/20 |
Keywords / Materials (for Non-textual outputs)
- Compressed Sensing
- Vector Approximate Message Passing
- Expectation Propagation
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Dive into the research topics of 'Upscaling Vector Approximate Message Passing'. Together they form a unique fingerprint.Projects
- 1 Finished
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C-SENSE: Exploiting low dimensional models in sensing, computation and signal processing
1/09/16 → 31/08/22
Project: Research