Recursive Digital Filtering is a baseflow separation method that belongs to the class of digital signal processing techniques, distinguished by its use of recursive algorithms to iteratively separate baseflow from total streamflow by applying backward and forward passes of a linear filter to minimize end effects and improve separation accuracy.
490
Publications
24.2K
Citations
806
Authors
351
Institutions
Publications per year
2017–2026
30
Parents
Publications
490
1–5 of 490
Authors
806
- TST. Saramäki
11 publications · 402 citations
10
h-index
- TH
10
h-index
- MF
9
h-index
- LB
8
h-index
- KK
8
h-index
1–5 of 806
Institutions
351
University of Windsor
Windsor, Canada
12 h-index
19 publications
692 citations
Rice University
Houston, United States
12 h-index
20 publications
1.4K citations
Kobe University
Kobe, Japan
10 h-index
19 publications
526 citations
Concordia University
Montreal, Canada
10 h-index
14 publications
487 citations
Princeton University
Princeton, United States
9 h-index
16 publications
673 citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
12 publications
599 citations
Queen's University
Kingston, Canada
9 h-index
17 publications
762 citations
University of Minnesota
Minneapolis, United States
9 h-index
14 publications
894 citations
1–8 of 351
Venues
- IEEE Transactions on Acoustics Speech and Signal Processing
71 publications · 4.6K citations
35
h-index
- IEEE Transactions on Circuits and Systems
75 publications · 3.1K citations
33
h-index
- IEEE Transactions on Audio and Electroacoustics
18 publications · 1.6K citations
14
h-index
- IEEE Transactions on Signal Processing
17 publications · 526 citations
12
h-index
- IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing
15 publications · 464 citations
12
h-index
1–5