Exact nonlinear filtering via Gauss transform eigenfunctions

Eytan Paldi; Arye Nehorai

doi:10.1109/icassp.1991.150181

Exact nonlinear filtering via Gauss transform eigenfunctions

Eytan Paldi
, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

By imposing mild restrictions on the analytic form of the probability density functions (PDFs) characterizing the model, the family of filtering problems for which exact recursive solutions are known is extended. It is shown that the recursive computation can be done with bounded complexity per iteration on the new family. This family has the potential to model many filtering problems.

Original language	English
Title of host publication	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Publisher	Publ by IEEE
Pages	3389-3392
Number of pages	4
ISBN (Print)	0780300033
DOIs	https://doi.org/10.1109/icassp.1991.150181
State	Published - 1991
Event	Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can Duration: May 14 1991 → May 17 1991

Publication series

Name	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	5
ISSN (Print)	0736-7791

Conference

Conference	Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
City	Toronto, Ont, Can
Period	05/14/91 → 05/17/91

Access to Document

10.1109/icassp.1991.150181

Cite this

Paldi, E., & Nehorai, A. (1991). Exact nonlinear filtering via Gauss transform eigenfunctions. In Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 3389-3392). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 5). Publ by IEEE. https://doi.org/10.1109/icassp.1991.150181

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title = "Exact nonlinear filtering via Gauss transform eigenfunctions",

abstract = "By imposing mild restrictions on the analytic form of the probability density functions (PDFs) characterizing the model, the family of filtering problems for which exact recursive solutions are known is extended. It is shown that the recursive computation can be done with bounded complexity per iteration on the new family. This family has the potential to model many filtering problems.",

author = "Eytan Paldi and Arye Nehorai",

year = "1991",

doi = "10.1109/icassp.1991.150181",

language = "English",

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series = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

publisher = "Publ by IEEE",

pages = "3389--3392",

booktitle = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

note = "Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 ; Conference date: 14-05-1991 Through 17-05-1991",

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Paldi, E & Nehorai, A 1991, Exact nonlinear filtering via Gauss transform eigenfunctions. in Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 5, Publ by IEEE, pp. 3389-3392, Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91, Toronto, Ont, Can, 05/14/91. https://doi.org/10.1109/icassp.1991.150181

Exact nonlinear filtering via Gauss transform eigenfunctions. / Paldi, Eytan; Nehorai, Arye.
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. Publ by IEEE, 1991. p. 3389-3392 (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Paldi, Eytan

AU - Nehorai, Arye

PY - 1991

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N2 - By imposing mild restrictions on the analytic form of the probability density functions (PDFs) characterizing the model, the family of filtering problems for which exact recursive solutions are known is extended. It is shown that the recursive computation can be done with bounded complexity per iteration on the new family. This family has the potential to model many filtering problems.

AB - By imposing mild restrictions on the analytic form of the probability density functions (PDFs) characterizing the model, the family of filtering problems for which exact recursive solutions are known is extended. It is shown that the recursive computation can be done with bounded complexity per iteration on the new family. This family has the potential to model many filtering problems.

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U2 - 10.1109/icassp.1991.150181

DO - 10.1109/icassp.1991.150181

M3 - Conference contribution

AN - SCOPUS:0026391171

SN - 0780300033

T3 - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SP - 3389

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BT - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

PB - Publ by IEEE

T2 - Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91

Y2 - 14 May 1991 through 17 May 1991

ER -

Exact nonlinear filtering via Gauss transform eigenfunctions

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