Linear prediction based adaptive algorithm for a complex sinusoidal frequency estimation

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dc.contributor.authorPunchalard, R.
dc.contributor.authorWardkein, P.
dc.date.accessioned2026-08-06T10:06:48Z
dc.date.available2026-08-06T10:06:48Z
dc.date.issued2013-06-01
dc.description.abstractThe complex direct frequency estimation (CDFE) adaptive algorithm is developed and proposed in this paper. The motivation of this work is obtained from the previous real DFE (RDFE) adaptive algorithm. The methodology of the CDFE is based on the linear prediction property of complex sinusoidal signals. The proposed algorithm is unbiased and computationally efficient. Moreover, it is easy to implement and appropriate for real-time applications. In addition, the convergence behavior is analyzed and the steady-state mean square error (MSE) of the frequency estimate is derived in closed form. Computer simulations are treated to corroborate the theoretical analysis. © 2013 Published by Elsevier GmbH.
dc.identifier.citationAEU International Journal of Electronics and Communications, 67(6), 521-527, 2013
dc.identifier.doi10.1016/j.aeue.2012.11.010
dc.identifier.issn14348411
dc.identifier.other2-s2.0-84876054237
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/4921
dc.sourceAEU International Journal of Electronics and Communications
dc.subjectAdaptive algorithm
dc.subjectComplex sinusoid
dc.subjectLinear prediction
dc.titleLinear prediction based adaptive algorithm for a complex sinusoidal frequency estimation
dc.typeArticle

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