Optimal quantization of random measurements in compressed sensing
Quantization is an important but often ignored consideration in discussions about compressed sensing. This paper studies the design of quantizers for random measurements of sparse signals that are optimal with respect to mean-squared error of the lasso reconstruction. We utilize recent results in hi...
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| Other Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2011-03-07T23:03:23Z.
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| Subjects: | |
| Online Access: | Get fulltext |