|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'504'928
Articles rated: 2609
25 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Performance Limits of Segmented Compressive Sampling: Correlated Samples versus Bits | | Hao Fang
; Sergiy A. Vorobyov
; Hai Jiang
; | | Date: |
19 Nov 2014 | | Abstract: | This paper gives performance limits of the segmented compressive sampling
(CS) which collects correlated samples. It is shown that the effect of
correlation among samples for the segmented CS can be characterized by a
penalty term in the corresponding bounds on the sampling rate. Moreover, this
penalty term is vanishing as the signal dimension increases. It means that the
performance degradation due to the fixed correlation among samples obtained by
the segmented CS (as compared to the standard CS with equivalent size sampling
matrix) is negligible for a high-dimensional signal. In combination with the
fact that the signal reconstruction quality improves with additional samples
obtained by the segmented CS (as compared to the standard CS with sampling
matrix of the size given by the number of original uncorrelated samples), the
fact that the additional correlated samples also provide new information about
a signal is a strong argument for the segmented CS. | | Source: | arXiv, 1411.5178 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER