2020
DOI: 10.1016/j.apacoust.2019.107031
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Two-stage active noise control with online secondary-path filter based on an adapted scheduled-stepsize NLMS algorithm

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Cited by 15 publications
(8 citation statements)
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“…In [253], an auxiliary noise-based method was designed to tackle sudden and strong changes of S(z), where a mixture of the LMS and normalized LMS (NLMS) algorithms is adopted for secondary path estimation. Alternatively, the VSS scheme can be employed for com-bating performance degradation and sudden changes of S(z) [254,255]. In [255], a scheduled-step size NLMS algorithm was employed to estimate the secondary path while suppressing disturbances from the modeling and controlling filter.…”
Section: Online Secondary Path Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…In [253], an auxiliary noise-based method was designed to tackle sudden and strong changes of S(z), where a mixture of the LMS and normalized LMS (NLMS) algorithms is adopted for secondary path estimation. Alternatively, the VSS scheme can be employed for com-bating performance degradation and sudden changes of S(z) [254,255]. In [255], a scheduled-step size NLMS algorithm was employed to estimate the secondary path while suppressing disturbances from the modeling and controlling filter.…”
Section: Online Secondary Path Estimationmentioning
confidence: 99%
“…Alternatively, the VSS scheme can be employed for com-bating performance degradation and sudden changes of S(z) [254,255]. In [255], a scheduled-step size NLMS algorithm was employed to estimate the secondary path while suppressing disturbances from the modeling and controlling filter. In [256], both variable power and VSS strategies were employed for performance improvement.…”
Section: Online Secondary Path Estimationmentioning
confidence: 99%
“…Comparing these two algorithms, LMS has simple structure, small computation amount, easy to be realized by hardware, and especially the filtered-x LMS (FxLMS) proposed by Burgess becomes the most widely used algorithm in the field of active noise control (ANC) due to its good convergence. 16 For example, Thilagam proposed an active interior noise control system based on the FxLMS algorithm, which was simulated in MATLAB, and the computational results showed a significant reduction in the sound pressure level 17 ; Kim et al adapted a step-size and normalized LMS (NLMS) algorithm to quickly train secondary path filters 18 ; Wang and Zhang combined auditory masking effect and normalized frequency-domain block into FxLMS algorithm, and verified its advantages of fast convergence and small error through vehicle steady-state noise test and data analysis 810 ; With the help of FxLMS algorithm, Ryu and others carried out experimental research on noise reduction and sound quality improvement of rotating machinery in an enclosed space. 19 To sum up, ANC has achieved certain results in some areas such as automobiles, but no reports in buses.…”
Section: Introductionmentioning
confidence: 99%
“…As principais abordagens que tratam de solucionar esse problema utilizam o tamanho de passo variável (do inglês, VSS -Variable Step Size), baseado em algum critério de ajuste para que durante os primeiros instantes de tempo o tamanho de passo seja grande e com a proximidade do fim o tamanho de passo seja pequeno. Algumas propostas para o ajuste do VSS publicadas na literatura podem ser vistas em [5,6]. Para realizar o ajuste do VSS essas propostas necessitam de parâmetros adicionais, tais como: fator de amortecimento, parâmetros de ponderação, entre outros.…”
Section: Introductionunclassified