Comments and Ratings

Ah, commenting out line 337 of rtslid.m:

"figure(params.fig);"

eliminates crashes for later versions of Matlab...

Version 1.1 posted 25 Apr 2009 adds keypress command "L" which toggles ON and OFF peak labels in the upper panel (zoomed-in segment). Each peak in that segment is labeled with peak position, height, and width. The labels change in real-time as the peak detection parameters are modified.

Version 4: April 2008: Added keypress function "x" to refine the fit by performing 10 trial fits with slightly different first guesses and take the one with the lowest fitting error. You can change the number of trials, "NumTrials", in line 69 (the default is 10)

good

This latest version (3.3) add two features:

1. It computes the model at 100 points regardless of number of data points, giving the graph a smoother appearance.

2. A new keypress function, "d", to print out x,y values of the current data segment.

I could not get this to work. I tried the DemoInteractivePeakFitter program and got an error

??? Error using ==> warning
Unknown setting or incorrect message identifier 'exiting'.

I think this is the same error which Belen Rial Franco got.

I've added ipf.m, a keyboard-operated version (without the sliders that have been giving some people problems), written as a single self-contained m-file.

Sorry about that. "Range" used to be a built-in function in Matlab version 6.5:

function y = range(x)
%RANGE The range is the difference between the maximum and minimum values.
% Y = RANGE(X) calculates the range of the input.
% For matrices RANGE(X) is a vector containing the range for each column.
% Copyright 1993-2002 The MathWorks, Inc.
% $Revision: 2.8 $ $Date: 2002/01/17 21:31:48 $
y = max(x) - min(x);

It's such a simple thing it hardly seems worth the trouble of defining a function, but there it is. I'll define it as a user-defined function in future releases. Thanks for the heads up. Tom

Just what I needed! Thank you very much!

thank you for your help, it is great!

fast and reliable tool ... thanks for sharing!

This has an interesting user interface but the sliders kept crashing. It appears to incorporate John D'Errico's excellent fminsearchbnd function, but his name is clipped from the file. Sorry, but this is pretty shameful plagarism, even if the code worked.

Please gat back to me with your private phone number.

Regards,
Dr. Hugo.

Your algorithm is excellent.But I find a problem in it.
Your algorithm is limited only when the data are positive number.If all the data are negative and there is peak points.Your algorithm can't detect the peak points.
But I can translate the coordinate axis.
It is to make all the y data into positive number. Then using your algorithm we can find the peak points.
I think you can modify your algorithm and make it adapt to the situation that the data is all negative number.
If you can modify your algorithm,please send the message to my email.(lygwxr@yahoo.com.cn)
Thank your.
A student from BIT of China

In response to the objection of Diana Glaser, the latest version 1.5 is specifically calibrated for time-based signals.

short n sweet

You don't account for the sampling frequency. Code works only for 1 sample per second signals. You should warn about this.

Works very well, only sometimes it crashes or is very slow. Esspecially the keypressfunctionality sometimes has problems.

Would be greate if it will do deconvolution and gave the areas for deconvolved peaks.
In general - great tool!

As it is this is just a very simple textbook example. To be useful in general, it should be able to handle ND matrices and it should treat NaNs effectively.

I tended to give this submission a rating of 3 stars, since this tackles a problem many users are faced with. However, this function does not check for common input errors. Moreover, there are already better, more general solutions available here on the FEX. Search for distance, minimum, ...

Version 1.3, October 15, 2006, adds some bug fixes. See http://www.wam.umd.edu/~toh/spectrum/InteractiveFourierFilter.htm
 for more infomation

Thanks Tom, for the Matlab port of your signal processing programs.

Version 1.2, dated August 24, 2006, is even faster than the previous version It can find and measure 1000 peaks in a 1,000,000 point signal in 13 seconds.