On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices

作者：Ma Junjie^*; Yuan Xiaojun; Ping Li

来源：IEEE Signal Processing Letters, 2015, 22(10): 1580-1584.

DOI：10.1109/LSP.2015.2414951

• AMP
• partial DFT
• signal recovery
• state evolution
• turbo compressed sensing

This letter is on the performance of the turbo signal recovery (TSR) algorithm for partial discrete Fourier transform (DFT) matrices based compressed sensing. Based on state evolution analysis, we prove that TSR with a partial DFT sensing matrix outperforms the well-known approximate message passing (AMP) algorithm with an independent identically distributed (IID) sensing matrix.

• 单位
  上海科技大学; 香港大学; 香港城市大学