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Algorithm 675: Fortran subroutines for computing the square root covariance filter and square root information filter in dense or Hessenberg forms
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Volume 15 ,  Issue 3  (September 1989) table of contents
Pages: 243 - 256  
Year of Publication: 1989
ISSN:0098-3500
Authors
M. Vanbegin  Philips Research Lab., Brussels, Belgium
M. Verhaegen  NASA Ames, Moffett Field, CA
Publisher
ACM  New York, NY, USA
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APPENDICES and SUPPLEMENTS
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square root covariance filter and information filter in dense or Hessenberg forms
Gams: L10a2e


ABSTRACT

In this paper, codes are provided for two of the most popular square root filters: the Square Root Covariance Filter and the Square Root Information Filter. We also give efficient implementations for the time invariant case based on so-called condensed forms. All routines make extensive use of BLAS routines.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ANDERSON, B. D. O., AND MOORZ, J.B. Optimal Filtering. Prentice-Hall, Englewood Cliffs, N.J., 1979.
 
2
BIERMAN, G. J. Factorization Methods for Discrete Sequential Estimation. Academic Press, Orlando, Fla., 1977.
 
3
DONGARRA, J. J., BUNCH, J. R., MOLER, C. B., AND STEWART, G.W. LINPACK Users's Guide, Society for Industrial and Applied Mathematics, Philadelphia, Pa., 1979.
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6
PAIGE, C. C. Covariance matrix representation in linear filtering, in the Special Issue of Contemporary Mathematics in Linear Algebra and its Role in Systems Theory. American Mathematical Society, Providence, R.I., 1985.
 
7
VAN DOOREN, P., AND VERHAEGEN, M. On the use of unitary state-space transformations. In the Special Issue of Contemporary Mathematics in Linear Algebra and its Role in Systems Theory. American Mathematical Society, Providence, R.I., 1985.
 
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Collaborative Colleagues:
M. Vanbegin: colleagues
M. Verhaegen: colleagues