000099164 001__ 99164
000099164 005__ 20230519145452.0
000099164 0247_ $$2doi$$a10.3390/app11010344
000099164 0248_ $$2sideral$$a122601
000099164 037__ $$aART-2021-122601
000099164 041__ $$aeng
000099164 100__ $$0(orcid)0000-0002-9508-7078$$aRamos Lorente, P.$$uUniversidad de Zaragoza
000099164 245__ $$aModified filtered-x hierarchical lms algorithm with sequential partial updates for active noise control
000099164 260__ $$c2021
000099164 5060_ $$aAccess copy available to the general public$$fUnrestricted
000099164 5203_ $$aIn the field of active noise control (ANC), a popular method is the modified filtered-x LMS algorithm. However, it has two drawbacks: Its computational complexity higher than that of the conventional FxLMS, and its convergence rate that could still be improved. Therefore, we propose an adaptive strategy which aims at speeding up the convergence rate of an ANC system dealing with periodic disturbances. This algorithm consists in combining the organization of the filter weights in a hierarchy of subfilters of shorter length and their sequential partial updates (PU). Our contribution is threefold:
(1) we provide the theoretical basis of the existence of a frequency-depend-ent parameter, called gain in step-size.
(2) The theoretical upper bound of the step-size is compared with the limit obtained from simulations.
(3) Additional experiments show that this strategy results in a fast algorithm with a computational complexity close to that of the conventional FxLMS.
000099164 536__ $$9info:eu-repo/grantAgreement/ES/UZ/Cátedra Devoture de Tecnología para el Ser Humano
000099164 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000099164 590__ $$a2.838$$b2021
000099164 592__ $$a0.507$$b2021
000099164 594__ $$a3.7$$b2021
000099164 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b39 / 92 = 0.424$$c2021$$dQ2$$eT2
000099164 591__ $$aPHYSICS, APPLIED$$b76 / 161 = 0.472$$c2021$$dQ2$$eT2
000099164 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b218 / 345 = 0.632$$c2021$$dQ3$$eT2
000099164 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b100 / 180 = 0.556$$c2021$$dQ3$$eT2
000099164 593__ $$aEngineering (miscellaneous)$$c2021$$dQ2
000099164 593__ $$aComputer Science Applications$$c2021$$dQ2
000099164 593__ $$aProcess Chemistry and Technology$$c2021$$dQ2
000099164 593__ $$aMaterials Science (miscellaneous)$$c2021$$dQ2
000099164 593__ $$aFluid Flow and Transfer Processes$$c2021$$dQ2
000099164 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000099164 700__ $$aMartin Ferrer, R.
000099164 700__ $$aArranz Martínez, F.
000099164 700__ $$0(orcid)0000-0002-9408-1280$$aPalacios-Navarro, G.$$uUniversidad de Zaragoza
000099164 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000099164 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000099164 773__ $$g11, 1 (2021), 344 [25 pp]$$pAppl. sci.$$tApplied Sciences (Switzerland)$$x2076-3417
000099164 8564_ $$s1499302$$uhttps://zaguan.unizar.es/record/99164/files/texto_completo.pdf$$yVersión publicada
000099164 8564_ $$s2493409$$uhttps://zaguan.unizar.es/record/99164/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000099164 909CO $$ooai:zaguan.unizar.es:99164$$particulos$$pdriver
000099164 951__ $$a2023-05-18-14:46:30
000099164 980__ $$aARTICLE