04-06-2011 02:20 PM
04-06-2011 02:38 PM
The filter can handle 100% of the noise. The way it handles the noise may not be what you want.
You must be more specific. Is the noise white? What is the signal bandwidth? What is the noise bandwidth? What is the signal to noise ratio? What kind of signal do you have? Is it a sine wave at one frequency or is it spread over a band like voice or music? What are you trying to achieve by "filtering" the noise?
Lynn
04-06-2011 11:20 PM
white noise
how to get the % of noise that filter can handle.
Is there any method for calculating. Please let me know briefly
04-07-2011 04:00 PM
As johnsold said a filter can handle 100% of noise, but the amount that it reduces each frequency will vary.
If you want to crunch a little math, it depends on the frequency of the noise and the order of the filter.
As an example if you have a 1st order butterworth lowpass filter at 15 hz and you have 30 hz noise then it will get rid of 50% of that noise.
A 2nd order butterworth lowpass filter at 15 hz and 30 hz noise will get rid of 75% of the noise.
What are you specifically trying to find and what methods have you tried so far to find it?
04-08-2011 08:09 AM
how to calculte number of bad samples for the above vi
input i am giving 1000 samples
04-11-2011 01:38 PM
One thing that you could try specifically for this VI that you have, is compare the filtered sine wave to a know sine wave of ten hertz using an array. You could subtract the two from each other and see which points are bad.
04-11-2011 02:36 PM
I think there has been a bit more discussion on this same topic here.