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Automatic Optimization Of Adaptive Notch Filter’s Frequency Tracking

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
Aktywność konferencyjna
Type
materiały konferencyjne indeksowane w Web of Science
Language
angielski
Publication year
2014

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