Theory and hardware implementation of an analog-to-Information Converter based on Compressive Sensing - 文章详情页

作者：

Liu, Sujuan (Liu, Sujuan.) | Zhang, Meihui (Zhang, Meihui.) | Jiang, Wenshu (Jiang, Wenshu.) | Wang, Junshan (Wang, Junshan.) | Qi, Peipei (Qi, Peipei.)

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EI Scopus

摘要：

In　the　practical　application,　Nyquist-Shannon　sampling　theorem　has　brought　great　challenges　to　high　sampling　rate,　fast　processing　speed　and　hardware　equipment.　In　the　context,　a　new　theory　called　Compressive　Sensing　(CS)　has　been　proposed,　which　can　break　the　restriction　of　the　Nyquist　theorem　for　sparse　signal.　The　Analog-to-Information　Converter(AIC)　makes　the　CS　theory　into　practical,　which　can　replace　the　traditional　Analog-to-Digital　Converter　(ADC)　to　sample　the　high　rate　signals　at　lower　rate　and　solve　the　bottleneck　of　Shannon-Nyquist　theorem.　In　this　paper,　we　will　analyze　the　mathematical　model　and　architecture　of　AIC,　Finally　we　proposed　a　hardware　implementation　for　AIC.　©　2013　IEEE.

关键词：

Compressed sensing Analog to digital conversion

作者机构：

[ 1 ] [Liu, Sujuan]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhang, Meihui]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Jiang, Wenshu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Wang, Junshan]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Qi, Peipei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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