using a cfit result in mathematical operations



I have some noisy data that I could not use for mathematical
computations because the noise was accentuated as derivatives were
taken. What I did to resolve the problem was to curve fit a smoothing
spline to the noisy data, allowing me to take the 1st and 2nd
derivatives of the curve rather than the "real" data. I can now use
these derivatives in my calculations. However, I would like to also
perform simple multiplication on my curve fit vector. I thought I
would be able to do this with syntax similar to what is used to
access data within a structural array (struct.thing). But, that
doesn't work for cfit.

So, I guess my question is "how do I obtain the vector containing my
curve fit from the resulting cfit?"

Thanks
Chris
.



Relevant Pages

  • Re: How do you find derivatives in noisy data?
    ... > Is there some simple algorithm that finds the derivative, ... > Does anybody know how to pull derivatives out of noisy data? ... Wiener Filter. ...
    (sci.math)
  • Re: How do you find derivatives in noisy data?
    ... comparatively small value of n) and doing a linear-regression and using ... the slope of the best-fit line? ... > Does anybody know how to pull derivatives out of noisy data? ...
    (sci.math)
  • Re: How do you find derivatives in noisy data?
    ... Fit splines ... > Is there some simple algorithm that finds the derivative, ... > Does anybody know how to pull derivatives out of noisy data? ...
    (sci.math)
  • Re: How do you find derivatives in noisy data?
    ... > Does anybody know how to pull derivatives out of noisy data? ... Derivative amplifies the noise, so you should filter out the noise as much ... Oversampling should not increase noise, but keep it the same or lower the ...
    (sci.math)
  • How do you find derivatives in noisy data?
    ... Is there some simple algorithm that finds the derivative, ... The data is oversampled which causes the derivative amplitude between ... Does anybody know how to pull derivatives out of noisy data? ...
    (sci.math)

Loading