A self-tuning feedforward active noise control system
نویسندگان
چکیده
منابع مشابه
A self-tuning feedforward active noise control system
This paper proposes a self-tuning feedforward active noise control (ANC) system with online secondary path modeling. The stepsize parameters of the controller and modeling filters have crucial rule on the system performance. In literature, these parameters are adjusted by trial-and-error. In other words, they are manually initialized before system starting, which require performing extensive ex...
متن کاملA Self-tuning Feedback Active Noise Control System
Active Noise Control (ANC) systems are developing rapidly because of their improvements in environmental noise reduction. ANC is based on either feedforward or feedback control. Feedback structures are employed in applications that the reference signal is not available. The step size of filters used in ANC systems plays an essential role in performance of the system. Any variation from the appr...
متن کاملA High Performance Feedback Active Noise Control System
In many active noise control (ANC) applications, an online secondary path modelling method that uses a white noise as a training signal is required. This paper proposes a new feedback ANC system. Here we modified both the FxLMS and the VSS-LMS algorithms to raised noise attenuation and modelling accuracy for the overall system. The proposed algorithm stops injection of the white noise at the op...
متن کاملA High Performance Feedback Active Noise Control System
In many active noise control (ANC) applications, an online secondary path modelling method that uses a white noise as a training signal is required. This paper proposes a new feedback ANC system. Here we modified both the FxLMS and the VSS-LMS algorithms to raised noise attenuation and modelling accuracy for the overall system. The proposed algorithm stops injection of the white noise at the op...
متن کاملThe Convergence Analysis of Feedforward Active Noise Control System
Most active noise control (ANC) systems [1-3] are based on feedforward structure with adaptive filters, which are updated with the filtered-x LMS algorithm [4, 5] or the multiple error filtered-x (MEFX) LMS algorithm [6, 7]. The convergence characteristics of these algorithms have been studied mostly in the time domain, and it was found that the convergence characteristics were subject to eigen...
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ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2009
ISSN: 1349-2543
DOI: 10.1587/elex.6.230