Article View: sci.math.num-analysis
Article #480Re: Fourier series approximation
From: John W. Herman
Date: Tue, 08 Sep 1992 20:04
Date: Tue, 08 Sep 1992 20:04
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1232 bytes
rh@smds.com (Richard Harter) writes: >In article <Bu6CKC.6tF@me.utoronto.ca> steinman@me.utoronto.ca (David Steinman) writes: >>kavuri@lips.ecn.purdue.edu (Surya N Kavuri ) writes: >>> When the data is NOT sampled at regular intervals, how are the fourier >>> coefficients determined ? >>Well, it may not be pretty (or even that accurate), but I usually just >>integrate the coefficient integrals using a trapezoidal rule. >There are three cases of interest that I can think of: Look at the definition of the Discrete Fourier Transform. Before simplification, it contains the time as an explicit variable. Try this first with a finite length window (read finite number of samples).
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Path: arc1-ca.pugleaf.net!sparky!uunet!sun-barr!olivea!spool.mu.edu!agate!overload.lbl.gov!dog.ee.lbl.gov!porpoise!manta!herman From: herman@nosc.mil (John W. Herman) Newsgroups: sci.math.num-analysis Subject: Re: Fourier series approximation Message-ID: <herman.715982675@phage> Date: 8 Sep 92 20:04:35 GMT References: <1992Sep6.181438.10676@noose.ecn.purdue.edu> <Bu6CKC.6tF@me.utoronto.ca> <1992Sep7.052544.20097@smds.com> Sender: usenet@nosc.mil (Network News) Organization: Naval Ocean Systems Center, San Diego, CA Lines: 16