A predictive filter for active noise control in small spaces
نویسندگان
چکیده
منابع مشابه
The Kalman Filter in Active Noise Control
Most Active Noise Control (ANC) systems use some form of the LMS [5][7] algorithm due to its reduced computational complexity. However, the problems associated with it are well-known, namely slow convergence and high sensitivity to the eigenvalue spread [3][7]. To overcome this problems the RLS algorithm is often used, but it is now widely known, that the RLS loses many of its good properties f...
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Frequency domain adaptive filter has potential benefits of fast convergence and low computational load, which make it attractive in the application of active noise control. However, it has been noticed that the commonly used normalized frequency domain block LMS algorithm faces the problem of deterioration of steady-state behavior when the whole control system is noncausal or the adaptive filte...
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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...
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Abstract Active noise control (ANC) is a method to eliminate noise in many applications such as industries, automobiles, home appliances, etc. The system mainly consists of an adaptive filter section and is implemented using a series of adders and multipliers. In this work, several adders and multipliers are compared and the optimized ones are chosen for speed and area efficiency. In the propos...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1990
ISSN: 0001-4966
DOI: 10.1121/1.2028984