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Abstract
Medley filters are defined as convex combinations of elementary smoothing filters (averaging, median) with different smoothing bandwidths. It is shown that when adaptive weights of such a mixture are evaluated using the recently proposed Bayesian rules, one obtains a tool which often outperforms the state-of-the-art wavelet-based smoothing algorithms. Additionally, unlike wavelet-based procedures, medley filters can easily cope with non-Gaussian (Laplacian, uniform)and temporarily inhomogeneous measurement noise.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Dania, 23-27.08.2010. - [CD] strony 641 - 645
- Language:
- English
- Publication year:
- 2010
- Bibliographic description:
- Gackowski S., Niedźwiecki M.: Medley filters - simple tools for efficient signal smoothing// 18th European Signal Processing Conference (EUSIPCO-2010), Aalborg, Dania, 23-27.08.2010. - [CD]/ Dania: EUROSIP, Aalborg Univesity, 2010, s.641-645
- Verified by:
- Gdańsk University of Technology
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