@inproceedings{b35017c65ae848d0b968c00152cc619c,
title = "Compressed sensing recovery algorithms and VLSI implementation",
abstract = "This paper proposes two recovery algorithms modified from subspace pursuit(SP) for compressed sensing problems. These algorithms can reduce the complexity of SP and maintain high recovery rate. Complexity analysis and simulation results are provided to demonstrate the improvements. Additionally this work has implemented the VLSI circuit APR of the proposed algorithm using TSMC 90 nm process. The target clock frequency is 100MHz, and the corresponding APR dimension is 11.69μμ2. Based on the post-layout simulation the average power consumption is 431 mW.",
author = "Lin, {Kuan Ting} and Yang, {Kai Jiun} and Lin, {Pu Hsuan} and Shang-Ho Tsai",
year = "2013",
doi = "10.1109/APSIPA.2013.6694227",
language = "English",
isbn = "9789869000604",
series = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",
booktitle = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",
note = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 ; Conference date: 29-10-2013 Through 01-11-2013",
}