In　this　paper,　a　spectrum　co-prime　rearrangement　based　sampling　scheme　at　very　low　rate　is　presented.　This　scheme　extends　SFT　from　discrete　time　domain　to　continuous　time　domain.　Firstly,　the　spectrum　of　sparse　signal　at　the　frequency　domain　is　rearranged　and　compressed　by　co-prime　Fourier　sampling　expansion.　Then　it　is　reconstructed　by　sub-linear　algorithm　on　Chinese　Remainder　Theorem.　The　simulation　results　show　that　the　proposed　sampling　scheme　can　further　reduce　the　sampling　rate　of　spectral　sparse　signal.　©　2017,　Chinese　Institute　of　Electronics.　All　right　reserved.