Track fitting with non-Gaussian noise

Computer Physics Communications

Volumn 100, Issue 1-2, 1997, Pages 1-16

  Fruhwirth R ^a  

^a INSTITUT FÜR HOCHENERGIEPHYSIK   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; ELECTRIC FILTERS; ERRORS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OBSERVABILITY; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE; VECTORS;

NON GAUSSIAN NOISE; NONLINEAR FILTER; TRACK FITTING;

KALMAN FILTERING;

EID: 0031075894     PISSN: 00104655     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0010-4655(96)00155-5     Document Type: Article

References (12)

1. R. Frühwirth, Comput. Phys. Commun. 85 (1995) 189.
2. D. Peña and I. Guttman, Commun. Statist. Theory Meth. 18 (1989) 817.
3. G. Kitagawa, Comput. Math. Appl. 18 (1989) 503.
4. R. Frühwirth, Nucl. Instr. Meth. A 262 (1987) 444.
5. E.A. Patrick, Fundamentals of Pattern Recognition (Prentice-Hall, Englewood Cliffs, NJ, 1972).
6. M. Bengtsson and P. Roivainen, Int. J. Neural Systems 6 (1995) 119.
7. H.E. Rauch, F. Tung and C.T. Striebel, AIAA J. 3 (1965) 1445.
8. G. Kitagawa, Ann. Inst. Statist. Math. 46 (1994) 605.
9. R.K. Bock et al., Data Analysis Techniques for High-Energy Physics Experiments (Cambridge Univ. Press, Cambridge 1990).
10. D. Stampfer, R. Frühwirth and M. Regler, Comput. Phys. Commun. 79 (1994) 157.
11. H.A. Bethe and W. Heitler, Proc. R. Soc. London A 146 (1934) 83.
12. R. Zurmühl and S. Falk, Matrizen und ihre Anwendungen, Teil 1: Grundlagen, 5th ed. (Springer, New York, Heidelberg, Berlin, 1984).