Transputer implementation of block regularized filtering
Kybernetika, Tome 32 (1996) no. 3, pp. 235-250 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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Classification : 65Y05, 93B40, 93C83, 93E10, 93E11
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Kadlec, Jiří. Transputer implementation of block regularized filtering. Kybernetika, Tome 32 (1996) no. 3, pp. 235-250. http://geodesic.mathdoc.fr/item/KYB_1996_32_3_a1/

[1] G. J. Bierman: Factorisation Methods for Discrete Sequential Estimation. Academic Press, New York 1977. | MR

[2] M. J. Flynn: Very high speed computing systems. IEEE Proc. 54 (1966), 1901-1909.

[3] F. M. F. Gaston G. W. Irwin: The systolic approach to information Kalman filtering. Internat. J. Control 15 (1989), 1, 225-228. | MR

[4] F. M. F. Gaston G. W. Irwin J. G. McWhirter: Systolic square root covariance Kalman filtering. J. VLSI Signal Processing 2 (1990), 37-49.

[5] W. M. Gentleman H. T. Kung: Matrix triangularisation by systolic arrays. Proc. SPIE, Vol. 298, Real Time Signal Processing IV, 1981, pp. 19-26.

[6] T. Hägglund: The problem of forgetting old data in recursive estimation. In: Proceedings of the IFAC Workshop on Adaptive Systems in Control and Signal Processing, San Francisco, California 1983.

[7] C. A. R. Hoare: Communicating Sequential Processes. Prentice Hall, Englewood Cliffs, N. J. 1985. | MR | Zbl

[8] K. Hwang F. A. Briggs: Computer Architecture and Parallel Processing. McGraw Hill, New York 1985.

[9] J. Kadlec: A joint criterion for exponential directional and mixed parameter tracking. In: Preprints of the International Symposium on Adaptive Systems in Control and Signal Processing (ACASP'92) Conference, Grenoble 1992, pp. 687-692.

[10] J. Kadlec: A recursive Gramm-Schmidt identification with directional tracking of parameters. In: Preprints of the the 9-th IFAC/IFORS Symposium on Identification and System Parameter Estimation, Budapest 1991, pp. 1707-1712.

[11] J. Kadlec F. M. F. Gaston G. W. Irwin: Implementation of the regularized parameter estimator. In: Proceedings of the 1992 IEEE Workshop on VLSI and Signal Processing, Napa 1992, pp. 520-529.

[12] J. Kadlec F. M. F. Gaston G. W. Irwin: Parallel implementation of restricted parameter tracking. In: Mathematics in Signal Processing (J. McWhirter, ed.), Oxford Publishers Press., Oxford 1992, pp. 315-326.

[13] J. Kadlec F. M. F. Gaston G. W. Irwin: The block regularised parameter estimator and its parallel implementation. Automatica 31 (1995), 8, 1125-1136. | MR

[14] J. Kadlec N. N. Nakhaee: Alpha Bridge for MATLAB 4. In: World Transputer Congress WTC 95, UK 1995 (submitted).

[15] R. Kulhavý: Directional tracking of regression-type model parameters. In: Preprints of the 2nd IFAC Workshop on Adaptive Systems in Control and Signal Processing, Lund 1986, pp. 97-102.

[16] R. Kulhavý: Restricted exponential forgetting in real-time identification. Automatica 23 (1987), 589-600. | MR

[17] R. Kulhavý B. Zarrop: On a general concept of forgetting. Internat. J. Control 58 (1993), 4, 905-924. | MR

[18] R. Kulhavý M. Kárný: Tracking of slowly varying parameters by directional forgetting. In: Preprints 9th IFAC World Congress, Budapest 1984, pp. 178-183, 1984.

[19] H. T. Kung C. E. Leiserson: Algorithms for VLSI processor arrays. In: Introduction to VLSI systems (C. Mead and L. Conway, eds.), Addison-Wesley, Reading, Mass. 1980.

[20] S. Y. Kung: VLSI Array Processors. Prentice Hall, Englewood Cliffs, N. J. 1988.

[21] F. D. Ling D. Manolakis J. G. Proakis: A recursive modified Gгam-Schmidt algorithm for least squares estimation. IEEE Trans. Acoust. Speech Signal Process. 34 (1986), 829-835.

[22] L. Ljung S. Gunnarsson: Adaptation and tracking in system identification -- a survey. Automatica 26 (1990), 7-21. | MR

[23] L. Ljung T. Söderström: Theory and Practice of Recursive Identification. MIT Press, Cambridge, MA 1983. | MR

[24] J. G. McWhirter: Recursive least squares minimisation using a systolic array. In: Proc. SPIE 431, Real Time Signal Processing VI, pp. 105, 1983.

[25] J. G. McWhirter: Algorithmic engineering -- an emerging discipline. SPIE Vol. 1152, Advanced Algorithms and Architectures for Signal Processing IV, pp. 2-15, 1989.

[26] J. E. Parkum N. K. Poulsen J. Holst: Recursive forgetting algorithms. Internat. J. Control 55 (1992), 109-128. | MR

[27] V. Peterka: Bayesian approach to system identification. In: Trends and Progress in System Identification (P. Eykhoff, ed.), Pergamon Press, Eindhoven 1981, Chap. 8, pp. 239-304. | MR

[28] T. J. Shepherd J. G. McWhirter J. E. Hudson: Parallel weight extraction from a systolic adaptive beamformer. In: Proc. IMA Internat. Conf. on Mathematics in Signal Processing, Warwick 1988, pp. 775-790.