Discover MakerZone

MATLAB and Simulink resources for Arduino, LEGO, and Raspberry Pi

Learn more

Discover what MATLAB® can do for your career.

Opportunities for recent engineering grads.

Apply Today

To resolve issues starting MATLAB on Mac OS X 10.10 (Yosemite) visit: http://www.mathworks.com/matlabcentral/answers/159016

Fitting exponential

Asked by fcarl on 4 Aug 2011

Hi, I want to fit my data with an exponential curve. I use fit and fittype=exp. So far no problem. But now I only want to use the first 600 data points and the last 200 datapoints (every trace has 15000 datapoints) and make an exponential fit over the whole trace only using this datapoints.

Can anybody help me which methods to use?

Thanks for your efforts!

2 Comments

Rick Rosson on 4 Aug 2011

Are you asking for help with which methods to use for curve fitting, or are you asking for help in how to segregate the data in MATLAB into two separate sets of data?

fcarl on 4 Aug 2011

for curve fitting method only using the first and last datapoints but giving a exponential curve over the whole datapoints only using this first and last datapoints.

fcarl

Products

No products are associated with this question.

4 Answers

Answer by Rick Rosson on 4 Aug 2011
Accepted answer

I will assume that you have the 15,000 data samples stored in the MATLAB Workspace as a 15,000 x 1 column vector called dataset.x.

   %% Create time domain:
   N = size(dataset.x,1);
   Fs = 125;
   dt = 1/Fs;
   dataset.t = dt*(0:N-1)';
   %% Create subset:
   p = 600;
   q = 200;
   subset.x = [  dataset.x(1:p) ;  dataset.x(end-q+1:end)  ];
   subset.t = [  dataset.t(1:p) ;  dataset.t(end-q+1:end)  ];
   %% Exponential fit:
   fitType = 'exp1';
   myFit = fit(subset.t,subset.x,fitType);

HTH.

Rick

3 Comments

fcarl on 4 Aug 2011

Thanks very much! Works well! :)

Rick Rosson on 4 Aug 2011

Glad to have helped!

Rick

the cyclist on 4 Aug 2011

Not that I'm bitter or anything, but ... uh ... isn't this exactly what I proposed in my answer? (Except that you did the work for him?)

Rick Rosson
Answer by the cyclist on 4 Aug 2011

If "x" is your explanatory variable, then it should be as simple as using x([1:600,end-199:end]), do similar for your response variable,and run fit() just as you did with "no problem" before. Or is it more complicated than that?

0 Comments

the cyclist
Answer by fcarl on 4 Aug 2011

But I also want the "timepoints" between this two "epochs" to be fitted. So that an exponential function goes from timepoint 0 to timepoint 15000 only using the first values and the last values.

Thanks for your answer!

5 Comments

fcarl on 4 Aug 2011

The problem is a so called baselinedrift in my data. And I want to handle this problem by calculating a baseline. Because there are a lot of signals in the middle of the data I only want to use the beginning and the end and use this values to fit an exponential baseline over the whole data.

Rick Rosson on 4 Aug 2011

Also, what is your time scale? You have 15000 points, but I assume that the time increment is not actually 1, but something much smaller. Do you know the sampling rate Fs and/or the time increment dt = 1/Fs?

fcarl on 4 Aug 2011

8ms (125 Hz)

fcarl
Answer by fcarl on 4 Aug 2011

I want to give another explanation because I think it is a bit confusing: I have a data trace containing of 15.000 timepoints (every 0.008 s one frame -->125 Hz). At the beginning and the end of the trace there are no "events" so only baseline with noise. I want to fit the whole trace with an exponential function only using the first n data points and the last m datapoints. So that the points between do not play any role but the exponential function should consider the gap between because there I also need the baseline!

0 Comments

fcarl

Contact us