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    • 1. 发明授权
    • Trim effect compensation using an artificial neural network
    • 使用人工神经网络修剪效果补偿
    • US09092729B2
    • 2015-07-28
    • US14336951
    • 2014-07-21
    • Greenray Industries, Inc.
    • John C. Esterline
    • G06N3/02H03L1/02H03L1/04G06N3/00G06N3/08
    • G06N3/02G06N3/00G06N3/08H03L1/025H03L1/026H03L1/04
    • Systems and methods for controlling frequency output of an electronic oscillator to compensate for effects of one or more parameters experienced by the oscillator incorporate artificial neural network processing functionality for generating correction signals. A neural network processing module includes one or more neurons which receive one or more inputs corresponding to parameters of an electronic oscillator, such as temperature and control voltage (or correction voltage). One or more sets of weights are calculated and applied to inputs to the neurons of the neural network as part of a training process, wherein the weights help shape the output of the neural network processing module. The neural network may include a linear summation module configured to provide an output signal that is at least partially based on outputs of the one or more neurons.
    • 用于控制电子振荡器的频率输出以补偿振荡器经历的一个或多个参数的影响的系统和方法包括用于产生校正信号的人造神经网络处理功能。 神经网络处理模块包括一个或多个神经元,其接收与电子振荡器的参数相对应的一个或多个输入,诸如温度和控制电压(或校正电压)。 计算一组或多组权重并将其应用于作为训练过程的一部分的神经网络的神经元的输入,其中权重有助于形成神经网络处理模块的输出。 神经网络可以包括被配置为提供至少部分地基于一个或多个神经元的输出的输出信号的线性求和模块。
    • 3. 发明授权
    • Neural network frequency control and compensation of control voltage linearity
    • 神经网络频率控制和补偿控制电压线性度
    • US09092730B2
    • 2015-07-28
    • US14567981
    • 2014-12-11
    • Greenray Industries, Inc.
    • John C. EsterlineAlan Snavely
    • G06N3/02G06N7/00G06N3/04
    • G06N3/02G06N3/04G06N7/00H03L1/025H03L1/026H03L1/04
    • Systems and methods of using an artificial neural network processing module to compensate a control voltage and create a linear output response for an electronic oscillator to produce a target frequency. The artificial neural network processing module includes one or more neurons which receive one or more inputs corresponding to the control voltage. The artificial neural network processing module is configured to provide a correction based at least in part on the control voltage and pre-calculated DAC values. The pre-calculated DAC values are determined in part by predetermined or predefined pull ranges and linear control voltage transfer functions. The artificial neural network processing module can preferably achieve a control voltage tuning linearity better than 0.5% linearity over an entire tuning range of +−75 ppm.
    • 使用人造神经网络处理模块来补偿控制电压并为电子振荡器产生线性输出响应以产生目标频率的系统和方法。 人造神经网络处理模块包括一个或多个接收对应于控制电压的一个或多个输入的神经元。 人造神经网络处理模块被配置为至少部分地基于控制电压和预先计算的DAC值提供校正。 预先计算的DAC值部分地由预定的或预定义的拉范围和线性控制电压传递函数确定。 人造神经网络处理模块可以优选地在+ -75ppm的整个调谐范围内实现优于0.5%线性度的控制电压调谐线性度。
    • 7. 发明授权
    • Neural network frequency control
    • 神经网络频率控制
    • US09092726B2
    • 2015-07-28
    • US13570563
    • 2012-08-09
    • John Esterline
    • John Esterline
    • G06N3/02H03L1/02H03L1/04G06N99/00G06N3/08
    • G06N3/02G06N3/084G06N99/005H03L1/025H03L1/026H03L1/04
    • Systems and methods for controlling frequency output of an electronic oscillator to compensate for effects of a parameter experienced by the oscillator incorporate artificial neural network processing functionality for generating correction signals. A neural network processing module includes one or more neurons which receive one or more inputs corresponding to a parameter of an electronic oscillator, such as temperature. Weights are calculated and applied to inputs to the neurons of the neural network as part of a training process, wherein the weights help shape the output of the neural network processing module. The neural network may include a linear summation module configured to provide an output signal that is at least partially based on outputs of the one or more neurons.
    • 用于控制电子振荡器的频率输出以补偿振荡器所经历的参数的影响的系统和方法包括用于产生校正信号的人造神经网络处理功能。 神经网络处理模块包括一个或多个神经元,其接收与诸如温度的电子振荡器的参数相对应的一个或多个输入。 计算权重并将其应用于作为训练过程的一部分的神经网络的神经元的输入,其中权重有助于形成神经网络处理模块的输出。 神经网络可以包括被配置为提供至少部分地基于一个或多个神经元的输出的输出信号的线性求和模块。
    • 9. 发明申请
    • NEURAL NETWORK FREQUENCY CONTROL
    • 神经网络频率控制
    • US20130041859A1
    • 2013-02-14
    • US13570563
    • 2012-08-09
    • Jonh Esterlilne
    • Jonh Esterlilne
    • G06N3/08
    • G06N3/02G06N3/084G06N99/005H03L1/025H03L1/026H03L1/04
    • Systems and methods for controlling frequency output of an electronic oscillator to compensate for effects of a parameter experienced by the oscillator incorporate artificial neural network processing functionality for generating correction signals. A neural network processing module includes one or more neurons which receive one or more inputs corresponding to a parameter of an electronic oscillator, such as temperature. Weights are calculated and applied to inputs to the neurons of the neural network as part of a training process, wherein the weights help shape the output of the neural network processing module. The neural network may include a linear summation module configured to provide an output signal that is at least partially based on outputs of the one or more neurons.
    • 用于控制电子振荡器的频率输出以补偿振荡器所经历的参数的影响的系统和方法包括用于产生校正信号的人造神经网络处理功能。 神经网络处理模块包括一个或多个神经元,其接收与诸如温度的电子振荡器的参数相对应的一个或多个输入。 计算权重并将其应用于作为训练过程的一部分的神经网络的神经元的输入,其中权重有助于形成神经网络处理模块的输出。 神经网络可以包括被配置为提供至少部分地基于一个或多个神经元的输出的输出信号的线性求和模块。