likehim
Newbie level 4
Hi all,
There is a little detail I 'm facing up within
signal processing application.
OK, the problem is to filter a signal, BUT with an adaptive algorithm.
The signal is not stationnary. I have already tested a lot of stuff :
standard numeric filter, time-frequency filtering (i.e wavelett based
denoising) etc BUT none of them gave satisfactory results.
I WANT TO TRY NOW ADAPTIVE FILTER.
Theory is nice, simple to understand, BUT I have a big problem
what shall I use as "desired signal", since I have only one the one
I want to filter ??
Thx in advance.
PS = The noise cannot be considered as Gaussian.
There is a little detail I 'm facing up within
signal processing application.
OK, the problem is to filter a signal, BUT with an adaptive algorithm.
The signal is not stationnary. I have already tested a lot of stuff :
standard numeric filter, time-frequency filtering (i.e wavelett based
denoising) etc BUT none of them gave satisfactory results.
I WANT TO TRY NOW ADAPTIVE FILTER.
Theory is nice, simple to understand, BUT I have a big problem
what shall I use as "desired signal", since I have only one the one
I want to filter ??
Thx in advance.
PS = The noise cannot be considered as Gaussian.