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.