The　physical　significance　of　independent　component　analysis　is　not　clear,　and　it　does　not　have　only　one　solution.　Aiming　at　the　disadvantages,　a　novel　linear　and　instantaneous　mixture　algorithm　method　based　on　eigenvalue　decomposition　of　observation　signals　autocorrelation　matrix　is　proposed.　Assumptions　of　this　new　method　are　different　from　the　traditional　blind　source　separation　model　and　independent　component　analysis　algorithm.　For　different　types　of　mixed　matrix,　this　new　method　gets　different　information　of　source　signals.　The　numerical　simulation　results　show　that,　it　can　separate　multiple　unrelated　source　signals　in　despite　of　Gauss　measurement　noise　and　can　also　achieve　noise　reduction　effect　after　separation　and　reconstruction　of　observation　signals.　©2014　Binary　Information　Press