Feature identification in time-indexed model output.
We present a method for identifying features (time periods of interest) in data sets consisting of time-indexed model output. The method is used as a diagnostic to quickly focus the attention on a subset of the data before further analysis methods are applied. Mathematically, the infinity norm error...
Main Authors: | Justin Shaw, Marek Stastna |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0225439 |
Similar Items
-
Feature identification in time series data sets
by: Justin Shaw, et al.
Published: (2019-05-01) -
Simultaneous identification and control of discrete time single input single output systems
by: Saratchandran, P.
Published: (1978) -
Large fully nonlinear solitary and solitary-like internal waves in the ocean
by: Stastna, Marek
Published: (2006) -
Large fully nonlinear solitary and solitary-like internal waves in the ocean
by: Stastna, Marek
Published: (2006) -
Identification of LTI Time-Delay Systems with Missing Output Data Using GEM Algorithm
by: Xianqiang Yang, et al.
Published: (2014-01-01)