Wiener filter
Optimum filtering
Article REF: R7228 V1
Wiener filter
Optimum filtering

Author : Mohamed NAJIM

Publication date: March 10, 1998 | Lire en français

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2. Wiener filter

2.1 Problem position

We have a message m (t ) = s 1 (t ) + b 1 (t ) where signal and noise are two stationary random processes. The task is to find the stationary linear filter that gives the best approximation of s 1 (t ) denoted s^  (t) . Signal and noise are two stationary random processes.

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