Abstract
A new compressive sensing (CS) scheme using the structured random matrix and the discrete periodic Radon transform (DPRT) is proposed. The new scheme first pre-randomises the sensing image and the DPRT is applied to the randomised samples to generate the so-called DPRT projections. They are then randomly selected to obtain the final sensing measurements. As the DPRT is friendly to hardware/optics implementation, it improves the operability and lowers the cost for real-time CS applications. Compared with other similar transforms such as the Walsh-Hadamard transform, the proposed DPRT scheme gives much better reconstructed images as shown in the simulation results.
Original language | English |
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Pages (from-to) | 591-593 |
Number of pages | 3 |
Journal | Electronics Letters |
Volume | 50 |
Issue number | 8 |
DOIs | |
Publication status | Published - 10 Apr 2014 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering