What is recorded here?
Introduced a sampling-based recursive Bayesian filter for nonlinear and non-Gaussian state-space models, with simulated demonstrations of the resulting bootstrap filter.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact three-author 1993 IEE paper and the algorithm under its stated state-space assumptions. It does not absorb all later particle-filter variants, convergence theory or application-specific systems.
Read the original work
- Publisher DOI for the bootstrap-filter paper
- INRIA-hosted full text of Gordon, Salmond and Smith 1993
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People and systems
Neil J. Gordon; David J. Salmond; Adrian F. M. Smith
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: United Kingdom
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English catalogue narrative
Gordon, Salmond and Smith: bootstrap filter for nonlinear state estimation
Introduced a sampling-based recursive Bayesian filter for nonlinear and non-Gaussian state-space models, with simulated demonstrations of the resulting bootstrap filter.
Scientific scope
The record is the exact three-author 1993 IEE paper and the algorithm under its stated state-space assumptions. It does not absorb all later particle-filter variants, convergence theory or application-specific systems.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Neil J. Gordon; David J. Salmond; Adrian F. M. Smith
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.