|Oct5-08, 12:09 PM||#1|
further noise reduction techniques ontop of Savitzky-Golay FIR filter
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?
|Oct6-08, 05:29 AM||#2|
Do you have any theoretical model?
If so there are many thechniques (e.g. kalman filter).
If not, instead of using S-golay, you can try building a specific LP filter and play with the threshold frequency
|Oct6-08, 09:34 AM||#3|
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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