| Issue |
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
|
|
|---|---|---|
| Article Number | 01047 | |
| Number of page(s) | 5 | |
| Section | Information and Communication Technology | |
| DOI | https://doi.org/10.1051/matecconf/20152201047 | |
| Published online | 09 July 2015 | |
Construction of Deterministic Measurements Matrix Using Decimated Legendre Sequences
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
* Corresponding author: cxhanzel@126.com
This paper proposed and constructed a new class of deterministic measurements matrix by using decimated binary Legendre sequences for convolutional Compressed Sensing. The author proves that when the measurement matrix is constructed by a random subsampling, it can offer a stable sparse reconstruction. Besides, the simulation results shows that when a deterministic subsampler is used, the proposed matrix can also guarantee the stable reconstruction as good as random Gaussian or Bernoulli matrixes do, which are commonly used in CS.
Key words: convolutional compressed sensing / Legendre sequences / RIP / coherence
© Owned by the authors, published by EDP Sciences, 2015
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