Time Series Analysis

An algorithms applying signal processing to a non uniform time series. A maximum of 10000 distinct points in time is allowed to be processed. The process uniformly samples the series, then extracts hidden periodicities and signal properties. The sampling period is the shortest time difference between two points. Finally, by using Caterpillar-SSA the algorithm forecasts the Time Series. The output shows the detected periodicity, the forecasted signal and the spectrogram. - Process category: Time Series

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Geonetwork Links
Field Value
GN_Metadata_Show http://geonetwork.d4science.org/geonetwork/srv/en/metadata.show?uuid=ec6c4644-9935-4f38-919e-49830fbf8083
GN_Metadata_Source http://geonetwork.d4science.org/geonetwork/srv/en/xml.metadata.get?uuid=ec6c4644-9935-4f38-919e-49830fbf8083
GN_URL http://geonetwork.d4science.org/geonetwork
Additional Info
Field Value
access_constraints []
coupled-resource
[]
dataset-reference-date
[{"type": "creation", "value": "2018-04-11T12:19:18.025+02:00"}, {"type": "publication", "value": "2018-04-11T12:19:18.025+02:00"}, {"type": "revision", "value": "2018-04-11T12:19:18.025+02:00"}]
frequency-of-update asNeeded
GUID ec6c4644-9935-4f38-919e-49830fbf8083
licence []
metadata-date 2018-05-10T12:37:35
metadata-language eng
resource-type application
responsible-party
[{"name": "", "roles": ["originator"]}]
spatial_harvester true
system:type Application
topic_category environment, geoscientificInformation
Management Info
Field Value
Maintainer bluebridge_catalogue_one
Last Updated 11 September 2018, 06:58 (CEST)
Created 11 September 2018, 06:58 (CEST)