Headphones with an integrated active noise cancellation system have been increasingly introduced to the consumer market in recent years. When exposing the human ear to active noise sources in this striking distance, t...Headphones with an integrated active noise cancellation system have been increasingly introduced to the consumer market in recent years. When exposing the human ear to active noise sources in this striking distance, the ensuring of a safe sound pressure level is vital. In feedback systems, this is coupled with the stability of the closed control loop; stable controller design is thus essential. However, changes in the control path during run-time can cause the stable control system to become unstable, resulting in an overdrive of the speakers in the headphones. This paper proposes a method, which enables the real-time analysis of the current system state and if necessary stabilizes the closed loop while maintaining the active noise reduction. This is achieved by estimating and evaluating the open loop behavior with an adaptive filter and subsequently limiting the controller gain in respect to the stability margin.展开更多
0108522基于 BP 神经网络的自适应有源消声系统[刊]/温激鸿//电子技术应用.—2000,26(12).—16～17(D)采用神经网络控制方法,建立了基于 BP 算法的神经网络有源消声实验系统。实验证明基于 BP 算法的有源消声实验系统具有良好的消声效...0108522基于 BP 神经网络的自适应有源消声系统[刊]/温激鸿//电子技术应用.—2000,26(12).—16～17(D)采用神经网络控制方法,建立了基于 BP 算法的神经网络有源消声实验系统。实验证明基于 BP 算法的有源消声实验系统具有良好的消声效果和稳定性。参4Y2001-62613-305 0108523计算机软件和硬件(含6篇文章)=Session-11:Com-purer software and Hardware[会,英]//2000 IEEE Pro-ceedings of Southeast Con:“Preparing for the New Mil-展开更多
文摘Headphones with an integrated active noise cancellation system have been increasingly introduced to the consumer market in recent years. When exposing the human ear to active noise sources in this striking distance, the ensuring of a safe sound pressure level is vital. In feedback systems, this is coupled with the stability of the closed control loop; stable controller design is thus essential. However, changes in the control path during run-time can cause the stable control system to become unstable, resulting in an overdrive of the speakers in the headphones. This paper proposes a method, which enables the real-time analysis of the current system state and if necessary stabilizes the closed loop while maintaining the active noise reduction. This is achieved by estimating and evaluating the open loop behavior with an adaptive filter and subsequently limiting the controller gain in respect to the stability margin.
文摘0108522基于 BP 神经网络的自适应有源消声系统[刊]/温激鸿//电子技术应用.—2000,26(12).—16～17(D)采用神经网络控制方法,建立了基于 BP 算法的神经网络有源消声实验系统。实验证明基于 BP 算法的有源消声实验系统具有良好的消声效果和稳定性。参4Y2001-62613-305 0108523计算机软件和硬件(含6篇文章)=Session-11:Com-purer software and Hardware[会,英]//2000 IEEE Pro-ceedings of Southeast Con:“Preparing for the New Mil-
