1. P. Rousseaux, J. Troquet. Deconvolution of time-varying systems by Kalman filtering: its application to the active state in the muscle[J]. Signal Processing, 1986, 10: 291–301.
2. X. Yu, C. S. Hsu, R. H. Bamberger.H∞ deconvolution filter design and its application in image restoration[C]//Proceedings of the 35th Conference on Decision and Control. New York: IEEE Press, 1996: 4802–4807.
3. R. K. Douglas, J. L. Speyer. An H∞ bounded fault detection filter[C]//Proceedings of the American Control Conference. Evanston: American Automatic Control Council, 1995: 86–90.
4. U. Shaked, Y. Theodor. A frequency domain approach to the problems of H∞-minimum error state estimation and white noise[J]. IEEE Transactions on Signal Processing, 1992, 40(2): 3001–3011.
5. J. M. Mendel. Lessons in Estimation Theory for Signal Processing, Communications, and Control[M]. Englewood Cliffs: PrenticeHall, 1995.