comp.lang.idl-pvwave archive - RDF feed
type: channel
description: Messages from Usenet group comp.lang.idl-pvwave, compiled by Paulo Penteado
items: peak finding with Guassfit
items: Re: peak finding with Guassfit

peak finding with Guassfit
type: item
description: I am working with 1D data, need to find two peak positions of each data, these two peaks close to each other. Currently, I've been using a gaussian fit with 6 parameters, and using the center of the Gaussian as the peak location. For each data set,the proximate peak location and fit width were given, gaussfit was used in the range of (peak-width, peak+width). For some data set the results are good, but for other data set the center of gaussian was shifted even out of the given range. These data sets do not have significant difference. Does anyone have any idea about this situation? Thank you very much!
creator: Adele
date: 2013-12-10T17:57:49-00:00

Re: peak finding with Guassfit
type: item
description: On Tuesday, December 10, 2013 11:57:49 AM UTC-6, Adele wrote: > I am working with 1D data, need to find two peak positions of each data, these two peaks close to each other. > > the center of the Gaussian as the peak location. > I'm confused here - does the data have two Gaussians or one? If one, do you need all six terms? In other words, do you have any a priori information on the background?
creator: Phillip Bitzer
date: 2013-12-10T23:23:24-00:00

Re: peak finding with Guassfit
type: item
description: On Tuesday, December 10, 2013 6:23:24 PM UTC-5, Phillip Bitzer wrote: > On Tuesday, December 10, 2013 11:57:49 AM UTC-6, Adele wrote: > >> I am working with 1D data, need to find two peak positions of each data, these two peaks close to each other. > >> > >> the center of the Gaussian as the peak location. > >> > > > > I'm confused here - does the data have two Gaussians or one? > > the data has two Gaussians which close to each other. > > If one, do you need all six terms? In other words, do you have any a priori information on the background? I extended the fit width then Gaussian fit works well for both data. Thanks.
creator: Adele
date: 2013-12-11T14:36:00-00:00