Electronic devices for controlling noise
    6.
    发明授权
    Electronic devices for controlling noise 有权
    用于控制噪音的电子设备

    公开(公告)号:US09495952B2

    公开(公告)日:2016-11-15

    申请号:US13569031

    申请日:2012-08-07

    Abstract: An electronic device for controlling noise is described. The electronic device includes a force sensor for detecting a force on the electronic device. The electronic device also includes noise control circuitry for generating a noise control signal based on a noise signal and the force. Another electronic device for controlling noise is also described. The electronic device includes a speaker that outputs a runtime ultrasound signal, an error microphone that receives a runtime ultrasound channel signal and noise control circuitry coupled to the speaker and to the error microphone. The noise control circuitry determines at least one calibration parameter and determines a runtime channel response based on the runtime ultrasound channel signal. The noise control circuitry also determines a runtime placement based on the runtime channel response and the at least one calibration parameter and determines at least one runtime active noise control parameter based on the runtime placement.

    Abstract translation: 描述了一种用于控制噪声的电子设备。 电子设备包括用于检测电子设备上的力的力传感器。 电子设备还包括用于基于噪声信号和力产生噪声控制信号的噪声控制电路。 还描述了另一种用于控制噪声的电子设备。 电子设备包括输出运行时超声信号的扬声器,接收运行时超声波信号的误差麦克风和耦合到扬声器和误差麦克风的噪声控制电路。 噪声控制电路确定至少一个校准参数并且基于运行时超声波信号确定运行时间段信道响应。 噪声控制电路还基于运行时间通道响应和至少一个校准参数来确定运行时间位置,并且基于运行时位置来确定至少一个运行时主动噪声控制参数。

    Active noise cancellation system recalibration
    7.
    发明申请
    Active noise cancellation system recalibration 审中-公开
    主动消噪系统重新校准

    公开(公告)号:US20010036280A1

    公开(公告)日:2001-11-01

    申请号:US09827794

    申请日:2001-04-06

    Abstract: The method of noise attenuation comprises the steps of generating a noise canceling signal based on an environmental assumption, assessing the environmental assumption of the control unit, and altering the noise canceling signal based on the assessment. Assessing may comprise the step of comparing the environmental assumption with actual environmental data, including the step of generating a test sound wave to obtain actual environmental data. The test sound wave is then compared to a model of the sound wave based on the environmental assumption. This method is embodied in a system that includes an air induction body, a speaker in proximity to the air induction body, a microphone in communication with the speaker, a reference sensor, and a control unit with a noise cancellation feature with an environmental assumption. The control unit is in communication with the speaker, reference sensor, and the microphone and assesses the environmental assumption in light of actual environmental data.

    Abstract translation: 噪声衰减的方法包括以下步骤:基于环境假设产生噪声消除信号,评估控制单元的环境假设,以及基于评估改变噪声消除信号。 评估可以包括将环境假设与实际环境数据进行比较的步骤,包括产生测试声波以获得实际环境数据的步骤。 然后将测试声波与基于环境假设的声波模型进行比较。 该方法体现在包括空气感应体,靠近空气感应体的扬声器,与扬声器通信的麦克风,参考传感器和具有环境假设的噪声消除特征的控制单元的系统中。 控制单元与扬声器,参考传感器和麦克风通信,并根据实际环境数据评估环境假设。

    ANC convergence factor estimation as a function of frequency

    公开(公告)号:US09779719B2

    公开(公告)日:2017-10-03

    申请号:US15365994

    申请日:2016-12-01

    Inventor: Darrel Ray Judd

    Abstract: A method of operating an audio system in a vehicle includes providing m number of microphones disposed within a passenger compartment of the vehicle. The microphones produce a plurality of microphone signals. Within the passenger compartment of the vehicle, k number of loudspeakers are provided. A plurality of convergence factors μ for use in performing active noise control are estimated. The estimating includes calculating an Eigen value λ(ω) of an autocorrelation matrix of a passenger compartment transfer function as λ k ⁡ ( ω ) = A k ⁡ ( ω ) 2 2 , wherein Ak(ω) is the frequency response of the passenger compartment transfer function. A frequency ωmin of a local minimum of λ(ω) is determined. A largest stable value for μMax(ωmin) is found by experimentation, wherein a rotational speed of an engine of the vehicle, expressed in revolutions per minute, frpm=2πωmin. A calibration factor is calculated as L=λ(ωmin)μMax(ωmin). All values of μMax(ω) are estimated as μMax ⁡ ( ω ) = L λ ⁡ ( ω ) . A plurality of active noise controlled audio signals are transmitted to the loudspeaker. The active noise controlled audio signals are dependent upon the microphone signals and the estimated convergence factors.

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