Recursive Filtering is a signal estimation method that belongs to the class of sequential Bayesian filters, distinguished by its use of recursive updates to compute the current state estimate based on prior estimates and new observations, without requiring reprocessing of past data.
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2017–2026
172
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974
Recursive bayesian estimation using gaussian sums
H.W. Sorenson, D. Alspach · Automatica · 1971 · 948 citations
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Brunel University of London
London, United Kingdom
28 h-index
50 publications
4K citations
Donghua University
Shanghai, China
19 h-index
31 publications
2.5K citations
Stanford University
Stanford, United States
19 h-index
34 publications
3.6K citations
University of Shanghai for Science and Technology
Shanghai, China
14 h-index
36 publications
2.9K citations
Northeast Petroleum University
Daqing, China
13 h-index
38 publications
1.4K citations
King Abdulaziz University
Jeddah, Saudi Arabia
13 h-index
15 publications
753 citations
Jiangnan University
Wuxi, China
13 h-index
32 publications
2K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
13 h-index
22 publications
1.6K citations
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- IEEE Transactions on Signal Processing
72 publications · 6.8K citations
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- IEEE Transactions on Acoustics Speech and Signal Processing
61 publications · 4.2K citations
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- IEEE Transactions on Automatic Control
57 publications · 4.4K citations
32
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- IEEE Transactions on Circuits and Systems
34 publications · 1.5K citations
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- IEEE Transactions on Information Theory
25 publications · 1.6K citations
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