Abstract: Compressive sensing is a technique that is suitable for compressing and recovering signals having sparse representations in certain bases.In view of two main problems in currently existing measurement matrices for compressive sensing of natural images,such as difficulty of hardware implementation and low sensing efficiency,this paper proposed a simple measurement matrix.By combining the diagonal block matrix with the LDPC check matrix in the channel co-ding,a new measurement matrix that facilitates the hardware implementation is generated.The diagonalizable LDPC measurement matrix is highly sparse and binary,and reduces the data storage space and computing time.Through the comparison of multiple sets of images,the reconstruction results of this method are much better than the others.

Key words: Compressive sensing,Measurement matrix,Diagonalization,LDPC