Singular spectrum analysis for time series with missing data

Details Singular spectrum analysis for time series with missing data Singular spectrum analysis for time series with missing data

Aug 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001georl..28.3187s&link_type=abstract

Geophysical Research Letters, Volume 28, Issue 16, p. 3187-3190

Physics

5

Oceanography: General: Estuarine Processes, Oceanography: Physical: Sediment Transport, General Or Miscellaneous: Techniques Applicable In Three Or More Fields

Scientific paper

Geophysical time series often contain missing data, which prevents analysis with many signal processing and multivariate tools. A modification of singular spectrum analysis for time series with missing data is developed and successfully tested with synthetic and actual incomplete time series of suspended-sediment concentration from San Francisco Bay. This method also can be used to low pass filter incomplete time series.

Affiliated with

Also associated with

No associations

Rating

Singular spectrum analysis for time series with missing data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Singular spectrum analysis for time series with missing data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Singular spectrum analysis for time series with missing data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-790524