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Further noise reduction techniques ontop of Savitzky-Golay FIR filter

  1. Oct 5, 2008 #1
    Hi PF Designers,

    Wasn't too sure if this would belong in the Electrical engineering forum but here goes.

    I'm designing a prototype for my thesis that will read in sensory data wirelessly to a matlab script. This sensory data is riddled with noise, however important data is contained in the High frequency components of the signal as well.

    Hence I was naturally going to use a Savitzky-Golay FIR filter in matlab. However I was wondering if I could perform further noise reduction techniques on top of this and still preserve the high frequency component that I saved.

    Thoughts, dilemmas, discussion, tid bits of help?
     
  2. jcsd
  3. Oct 6, 2008 #2
    Do you have any theoretical model?

    If so there are many thechniques (e.g. kalman filter).
    http://en.wikipedia.org/wiki/Kalman_filter

    If not, instead of using S-golay, you can try building a specific LP filter and play with the threshold frequency
     
  4. Oct 6, 2008 #3

    marcusl

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    Gold Member

    If you know the form of your input data, then a Wiener filter will give you the theoretically optimum SNR at the output. For white Gaussian noise you can implement the optimal filter as a matched filter.
     
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