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Abstract
Estimation of instantaneous frequency of narrowband com- plex sinusoids is often performed using lightweight algo- rithms called adaptive notch filters. However, to reach high performance, these algorithms require careful tuning. The paper proposes a novel self-tuning layer for a recently intr o- ducedadaptive notch filtering algorithm. Analysis shows th at, under Gaussian random-walk type assumptions, the resultin g solution converges in mean to the optimal frequency estima- tor. A simplified one degree of freedom version of the filter, recommended for practical applications, is also proposed. Fi- nally, a comparison of performance with six other state of th e art schemes is performed. It confirms the improved tracking accuracy of the proposed scheme
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2014 European Signal Processing Conference EUSIPCO 2014 : Proceedings strony 1 - 5
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Meller M.: AUTOMATIC OPTIMIZATION OF ADAPTIVE NOTCH FILTER’S FREQUEN CY TRACKING // 2014 European Signal Processing Conference EUSIPCO 2014 : Proceedings / : , 2014, s.1-5
- Verified by:
- Gdańsk University of Technology
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