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 how to find Multiple Peak Fit details
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a722a126

Taiwan
1 Posts

Posted - 02/18/2016 :  09:49:29 AM  Show Profile  Edit Topic  Reply with Quote  View user's IP address  Delete Topic
Hi

Got a problem
1.why i can't see two lognormal distribution their mean and standard deviation
2.How to connect two distribution like g(x) = x1 f1(x) +x2 f2(x)

Thanks in advance.

Edited by - a722a126 on 02/18/2016 09:51:40 AM

jasonzhao

China
262 Posts

Posted - 02/18/2016 :  9:19:36 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Hello,

If you are using Origin 2016, (with demo version here: http://www.originlab.com/demodownload.aspx) the parameter mean and standard deviation will output in the parameter table, as Derived Parameters, please check this page for details:
http://www.originlab.com/doc/Origin-Help/LogNormal-FitFunc

Besides, what do you mean by g(x) = x1 f1(x) +x2 f2(x)?

Best regards!
Jason
OriginLab Technical Service

Edited by - jasonzhao on 02/18/2016 9:20:05 PM
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greenbergmethew

India
1 Posts

Posted - 03/09/2016 :  05:39:11 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
function P=findpeaksG(x, y, SlopeThreshold, AmpThreshold, SmoothWidth, FitWidth, smoothtype)
This is my basic command-line function to locate and measure the positive peaks in a noisy data sets. It detects peaks by looking for downward zero-crossings in the smoothed first derivative that exceed SlopeThreshold and peak amplitudes that exceed AmpThreshold, and determines the position, height, and approximate width of each peak by least-squares curve-fitting the top part of the peak. Returns a list (in matrix P) containing the peak number and the estimated position, height, width, and area of each peak. It can find and measure over 1000 peaks per second in very large signals. Version 5.0 has improved error catching for very noisy data. The related function findpeaksL.m does the same, assuming a Lorentzian peak shape.

http://goo.gl/maoapk | http://goo.gl/8Ur2QK
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