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Automatic Optimization Of Adaptive Notch Filter’s Frequency Tracking

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:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
Proceedings of 2014 European Signal Processing Conference EUSIPCO 2014 strony 1 - 5
ISSN:
2076-1465
Language:
English
Publication year:
2014
Bibliographic description:
Meller M..: Automatic Optimization Of Adaptive Notch Filter’s Frequency Tracking, W: Proceedings of 2014 European Signal Processing Conference EUSIPCO 2014 , 2014, ,.
Verified by:
Gdańsk University of Technology

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