Turbo compressed sensing with partial DFT sensing matrix
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 158-161 |
| Journal / Publication | IEEE Signal Processing Letters |
| Volume | 22 |
| Issue number | 2 |
| Online published | 26 Aug 2014 |
| Publication status | Published - Feb 2015 |
Link(s)
Abstract
In this letter, we propose a turbo compressed sensing algorithm with partial discrete Fourier transform (DFT) sensing matrices. Interestingly, the state evolution of the proposed algorithm is shown to be consistent with that derived using the replica method. Numerical results demonstrate that the proposed algorithm outperforms the well-known approximate message passing (AMP) algorithm when a partial DFT sensing matrix is involved.
Research Area(s)
- Approximate message passing (AMP), compressed sensing, partial DFT matrix, replica method, state evolution
Citation Format(s)
Turbo compressed sensing with partial DFT sensing matrix. / Ma, Junjie; Yuan, Xiaojun; Li, Ping.
In: IEEE Signal Processing Letters, Vol. 22, No. 2, 02.2015, p. 158-161.
In: IEEE Signal Processing Letters, Vol. 22, No. 2, 02.2015, p. 158-161.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
