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- From: skipa@milton.u.washington.edu (Skip Albertson)
- Newsgroups: sci.math
- Subject: HELP: Empirical Orthogonal Functions (EOFs)...
- Summary: HELP: Empirical Orthogonal Functions...
- Keywords: HELP, EOFs, Empirical Orthogonal Functions
- Message-ID: <skipa.722056383@milton>
- Date: 18 Nov 92 03:13:03 GMT
- Article-I.D.: milton.skipa.722056383
- Sender: news@u.washington.edu (USENET News System)
- Organization: University of Washington
- Lines: 25
-
-
- I'm trying to sample a scalar field (say temperature) with
- the minimum number of evaluations (field stations) to gain
- a reasonible representation of the field. A friend suggested
- I try Empirical Orthogonal Functions (or some such thing)...
- haven't had time to make it to the library yet, thought I'd
- solicit help here...
-
- If I over-sample the field (take N random readings) and then
- attempt to find the relative independance of each sample by
- diagnolizing the N x N matrix formed by the product:
-
- (x1*x1 x1*x2 x1*x3 ... x1*xN)
- (x2*x1 x2*x2 .... )
- (.... xN*xN)
-
- where x1 to xN are the N evaluations of the field, will the
- relative values of the eigenvectors tell me which stations
- I can drop?
-
- Is this what my friend could have meant?
-
- Thanks in advance,
-
- alberts@apl-em.apl.washington.edu
-