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dc.contributor.authorArdekani, Iman
dc.contributor.authorSakhaee, N.
dc.contributor.authorSharifzadeh, Hamid
dc.contributor.authorBarmada, Bashar
dc.contributor.authorLovell, G.
dc.description.abstractThis paper proposes a novel adaptive active noise control algorithm based on Tikhonov regularization theory. A regularized cost function consisting of the weighted sum of the most recent samples of the residual noise and its derivative is defined. By setting the gradient vector of the cost function to zero, an optimal solution for the control parameters is obtained. Based on the proposed optimal solution, a computationally efficient algorithm for adaptive adjustment of the control parameters is developed. It is shown that the regularized affine projection algorithm can be considered as a very special case of the proposed algorithm. Different computer simulation experiments show the validity and efficiency of the proposed algorithm.en_NZ
dc.subjectactive noise control (ANC)en_NZ
dc.subjectadaptive algorithmsen_NZ
dc.subjectTikhonov regularizationen_NZ
dc.subjectaffine projection algorithmen_NZ
dc.titleA novel adaptive active noise control algorithm based on Tikhonov regularisationen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.subject.marsden091301 Acoustics and Noise Control (excl. Architectural Acoustics)en_NZ
dc.identifier.bibliographicCitationArdekani, I., Sakhaee, N., Sharifzadeh, H., Barmada, B., & Lovell, G. (2018). A novel adaptive active noise control algorithm based on Tikhonov regularisation. 10th International Conference on Signal Processing Systems (ICSPS 2018). (pp. 1-5). Retrieved from
unitec.conference.title10th International Conference on Signal Processing Systems (ICSPS 2018)en_NZ
unitec.conference.orgInternational Association of Computer Science and Information Technology (IACSIT)en_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationUniversity of Aucklanden_NZ

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