²⁵²Cf-source-driven neutron pulse series signal processing based on compressive sensing

The 252Cf-Source-Driven neutron pulse series have special sparse structure of 0, 1. There is no doubt that it satisfies the general condition of compressive sensing(CS). Unlike conventional compressive sensing approaches, we model the compressive sensing process with bipartite graph, combining with minimal covering of bipartite graph and adding some suitable conditions to the bipartite graph to construct a sparse and uniform measurement matrix. The results show that this new CS reconstruction algorithm is feasible for the 252Cf-source-driven neutron pulse series, and has a better performance than l1 method. Furthermore, this research provides a new approach or method for the signal processing of 252Cf-source-driven neutron pulse series.