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- From: patel@sparky.drad.umn.edu ()
- Subject: Filtering out Additive Gaussian Noise
- Message-ID: <1992Sep9.153835.13810@news2.cis.umn.edu>
- Sender: news@news2.cis.umn.edu (Usenet News Administration)
- Nntp-Posting-Host: sparky.drad.umn.edu
- Organization: University of Minnesota, Radiology Department
- Date: Wed, 9 Sep 1992 15:38:35 GMT
- Lines: 14
-
- I am posting this for a friend of mine. You can send your replies
- to my account and I can forward them to my friend.
- ---------------------------------------------------------
- I have a signal currupted by white additive Gausian noise.
- y(t) = x(t) + n(t) ; where n(t) is the additive Gaussian noise
- and x(t) is the desired signal. x(t) is not a stochastic signal
- but I know its characteristics like it is smooth everywhere
- except at the edges. What is the best method to filter out the
- noise from the observed signal y(t) to recover x(t)? I would
- like to preserve the edges in the signal x(t) which are of utmost
- importance to me. Any pointers to literature appreciated.
- Thanks
-
- Reply to patel@sparky.drad.umn.edu
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