Direct-Lattice Adaptive Notch Filter for Frequency Estimation and Tracking

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dc.contributor.authorInban, P.
dc.contributor.authorPunchalard, R.
dc.contributor.authorBenjangkaprasert, C.
dc.date.accessioned2026-08-06T10:34:38Z
dc.date.available2026-08-06T10:34:38Z
dc.date.issued2022-01-01
dc.description.abstractThis paper presents a direct-lattice adaptive notch filter (DLANF) for frequency estimation and tracking. The proposed filter is the cascade of an all-pole direct form structure filter with an all-zero lattice predictor. The normalized gradient algorithm is used to adjust the filter parameter. This technique outperforms some conventional adaptive filters in terms of convergence time and provides a small mean square error (MSE). Computer simulations are conducted to show the superiority of the proposed filter.
dc.identifier.citationProceedings of 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference Apsipa ASC 2022, 478-481, 2022
dc.identifier.doi10.23919/APSIPAASC55919.2022.9980068
dc.identifier.other2-s2.0-85146286145
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12573
dc.sourceProceedings of 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference Apsipa ASC 2022
dc.titleDirect-Lattice Adaptive Notch Filter for Frequency Estimation and Tracking
dc.typeConference Paper

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