Temporal Resampling
Temporal Resampling is a data transformation technique in time series analysis that involves recalibrating the temporal granularity of observations by aggregating or interpolating values at non-uniform or uniform intervals, thereby altering the temporal resolution while preserving the underlying temporal structure.
15
Publications
598
Citations
46
Authors
31
Institutions
Publications per year
2017–2026
9
Variants
Time Resampling
Parents
15
A Survey of Temporal Antialiasing Techniques
Lei Yang, Shiqiu Liu, Marco Salvi · Computer Graphics Forum · 2020 · 64 citations
1–5 of 15
46
3
h-index
1
h-index
NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States
1 publications · 23 citations
1
h-index
1
h-index
1
h-index
1–5 of 46
31
University of California San Diego
San Diego, United States
2 h-index
5 publications
95 citations

University of Waterloo
Waterloo, Canada
1 h-index
1 publications
18 citations
University of Florida
Gainesville, United States
1 h-index
2 publications
34 citations

Monash University
Melbourne, Australia
1 h-index
1 publications
38 citations
Dartmouth Hospital
Dartmouth, United Kingdom
1 h-index
2 publications
292 citations
Asociación de Investigación y Cooperación Industrial de Andalucía
Seville, Spain
1 h-index
1 publications
28 citations
National Renewable Energy Centre
Pamplona, Spain
1 h-index
1 publications
28 citations
Territoires, Environnement, Télédétection et Information Spatiale
Montpellier, France
1 h-index
2 publications
128 citations
1–8 of 31
TOG · 2 publications · 182 citations
2
h-index
1 publications · 64 citations
1
h-index
1 publications · 24 citations
1
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Repository · 1 publications · 16 citations
1
h-index
1 publications · 28 citations
1
h-index
1–5