標題: Compressed Sensing Recovery Algorithms and VLSI Implementation
作者: Lin, Kuan-Ting
Yang, Kai-Jiun
Lin, Pu-Hsuan
Tsai, Shang-Ho
電機工程學系
Department of Electrical and Computer Engineering
公開日期: 2013
摘要: 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 11.69mm(2). Based on the post-layout simulation the average power consumption is 431 mW.
URI: http://hdl.handle.net/11536/23691
期刊: 2013 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA)
顯示於類別:會議論文