ear all,
I have a basic knowledge of signal processing, but unfortunately I'm not a
specialist of this field.
I have to build an adaptive MISO (multiple-input single-output) FIR Wiener
filter, which receives three (or more) signals as inputs and produces an output
according to the Wiener filter theory (for example referring to the book of
Haykin, Adaptive Filter Theory). I need to use the Wiener filter as a predictor.
I am coding a MATLAB routine to achieve this task. I have already started with
some codes I found online at this page
http://www.mathworks.it/matlabcentral/fileexchange/authors/95913
but I need some advice to build a more efficient (as you know, using the
so-called Levinson Durbin recursion) and numerically stable MATLAB code . Indeed
the stability of the code strongly depends on the nature of the inputs: If for
example I pre-filter the signals to reduce the noise, ths weights coefficient of
the filter go "crazy" and assume incredibly high values.
It would be very grateful if you can indicate some MATLAB functions, already
build for this purpose, somewhere in the web or devloped by you.
It is very hard for me to code the Levinson-Durbin recursion and I do not know
where I can find an efficient algorithm for the MISO case (in which
block-Toeplitz matrix are involved).
In addition, I would like to ask whether there are other alternative approaches,
other than the Wiener filter, which might suit better the problem I am
tackling.
Please let me know.
Best regards,
E.