Bao Hua, Panahi Issa M S
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5701-4. doi: 10.1109/IEMBS.2009.5332654.
Conventional adaptive active noise control (ANC) methods aim to attenuate the acoustic noise over the frequency band of interest indiscriminately using the sound pressure level (SPL) measurement (or the measurement of the residual error variance). However, SPL does not correctly reflect the human perception of attenuated noise due to the frequency selective sensitivity of human hearing system. A-weighting is a commonly used weighting filter for measuring the noise. This weighting filter quantifies frequency response of the human ears and hearing system. In this paper, we aim to improve the performance of adaptive noise cancellation method from the psychoacoustic point of view by incorporating the A-weighting into the ANC system design. Loudness is used as the psychoacoustic criterion for evaluating the ANC system performance. Simulation results illustrate the effectiveness of the proposed method.
传统的自适应有源噪声控制（ANC）方法旨在使用声压级（SPL）测量（或残余误差方差测量）不加区分地衰减感兴趣频带上的声学噪声。然而，由于人类听觉系统的频率选择性灵敏度，声压级并不能正确反映人类对衰减噪声的感知。A加权是一种常用的噪声测量加权滤波器。该加权滤波器量化了人耳和听觉系统的频率响应。在本文中，我们旨在通过将A加权纳入ANC系统设计，从心理声学角度提高自适应噪声消除方法的性能。响度用作评估ANC系统性能的心理声学标准。仿真结果说明了所提方法的有效性。
