1. Complexity of solving linear systems in different models of computation;Bojańczyk;SIAM J. Numer. Anal.,1984
2. Systolic adaptive beamforming;Shepherd,1993
3. M. Ylinen, A. Burian, J. Takala, Direct versus iterative methods for fixed-point implementation of matrix inversion, in: Proceedings of the 2004 International Symposium on Circuits and Systems, 2004, p. III–225-8.
4. A systolic architecture for fast dense matrix inversion;El-Amawy;IEEE Trans. Comput.,1989
5. C.K. Singh, S.H. Prasad, P.T. Balsara, VLSI Architecture for matrix inversion using modified Gram–Schmidt based QR decomposition, in: Proceedings of the 20th International Conference on VLSI Design, 2007, pp. 836–841.