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7 条记录 (耗时 0.012 秒)

    Adaptive removal of resonance-induced noise
    1.
    发明授权
    Adaptive removal of resonance-induced noise 有权
    自适应去除谐振引起的噪声

    公开(公告)号：US06611602B1

    公开(公告)日：2003-08-26

    申请号：US09324998

    申请日：1999-06-02

    申请人： Stanley A. White ,  Jeffrey P. Woodard ,  Michael Alan Soderstrand ,  Karl Einar Nelson ,  Phong Vu Nguyen Dao

    发明人： Stanley A. White ,  Jeffrey P. Woodard ,  Michael Alan Soderstrand ,  Karl Einar Nelson ,  Phong Vu Nguyen Dao

    IPC分类号： H03G500

    CPC分类号： H03H17/0294 ,  H03H17/025 ,  H03H17/0288 ,  H03H17/04 ,  H03H2017/0297

    摘要： Noise is removed from the digitized output of a sensor, subject to undesired resonance, even when the resonant frequency is unknown or drifts, with sufficiently low phase delay for the sensor to be used in closed-loop control. A very narrow notch filter which removes the resonance-induced noise is recursive (IIR) and therefore has a low phase delay. However, the apparatus which determines the center frequency of the notch filter is non-recursive, and therefore stable. It includes a tunable FIR filter which tracks the same resonance that we wish the IIR filter to remove. Tuning the FIR filter to minimize the output of the FIR filter therefore tunes the notch frequency to align with the resonant frequency. The tuning parameter which adaptively produces this result is suitably scaled and biased, and is applied to the IIR filter.

    摘要翻译： 即使谐振频率未知或漂移，即使传感器用于闭环控制的相位延迟足够低，噪声也会从传感器的数字化输出中消失。 去除谐振感应噪声的非常窄的陷波滤波器是递归的（IIR），因此具有低相位延迟。 然而，确定陷波滤波器的中心频率的装置是非递归的，因此是稳定的。 它包括一个可调FIR滤波器，跟踪我们希望IIR滤波器去除的相同谐振。 调谐FIR滤波器以最小化FIR滤波器的输出，因此调谐陷波频率与谐振频率对齐。 自适应地产生该结果的调谐参数被适当地缩放和偏置，并且被应用于IIR滤波器。

    Vehicle navigation system with non-overflow digital filter
    2.
    发明授权
    Vehicle navigation system with non-overflow digital filter 失效
    具有非溢出数字滤波器的车载导航系统

    公开(公告)号：US5587910A

    公开(公告)日：1996-12-24

    申请号：US384084

    申请日：1995-02-06

    申请人： Jeffrey P. Woodard

    发明人： Jeffrey P. Woodard

    IPC分类号： G06F17/40 ,  G06F17/00

    CPC分类号： G01C21/20 ,  G01C21/005 ,  H03H17/0241 ,  H03H17/0285

    摘要： A vehicle navigation system uses a one-multiplier Gray-Markel filter. The sign parameter of each stage of the filter is selected by an algorithm which limits the maximum signal passing through the filter, thereby preventing overflow.

    摘要翻译： 车载导航系统使用一个乘法器的Gray-Markel滤波器。 通过限制通过滤波器的最大信号的算法来选择滤波器各级的符号参数，从而防止溢出。

    Display system for microscopic optical instruments
    4.
    发明授权
    Display system for microscopic optical instruments 失效
    微型光学仪器显示系统

    公开(公告)号：US4274092A

    公开(公告)日：1981-06-16

    申请号：US91991

    申请日：1979-11-07

    申请人： Richard S. Vonusa ,  Jeffrey P. Woodard

    发明人： Richard S. Vonusa ,  Jeffrey P. Woodard

    IPC分类号： G02B21/00 ,  G09G3/14 ,  G06F3/14

    CPC分类号： G09G3/14 ,  G02B21/00

    摘要： A display system for use with a microscopic optical instrument having at least one eyepiece. The display system has a display unit operably attached to the eyepiece and incorporates therein a LED display which provides direct visual feedback to an individual who views imagery through the optical instrument. The LED display is interfaced to a computer which provides intelligent control of the display system when activated by the operator of the optical instrument. When not activated, the display system allows normal viewing through the optical instrument to take place.

    摘要翻译： 一种用于具有至少一个目镜的显微镜光学仪器的显示系统。 显示系统具有可操作地附接到目镜的显示单元并且包括LED显示器，其向通过光学仪器观看图像的个人提供直接的视觉反馈。 LED显示器连接到计算机，当由光学仪器的操作者激活时，显示系统提供智能控制。 当未激活时，显示系统允许通过光学仪器进行正常观察。

    Sawtooth phase filter
    5.
    发明授权
    Sawtooth phase filter 失效
    锯齿相滤波器

    公开(公告)号：US5732003A

    公开(公告)日：1998-03-24

    申请号：US634003

    申请日：1996-04-15

    申请人： Stanley A. White ,  Jeffrey P. Woodard

    发明人： Stanley A. White ,  Jeffrey P. Woodard

    IPC分类号： H03H17/02 ,  G06F17/10

    CPC分类号： H03H17/0219

    摘要： Noise may be reduced or eliminated from a digital sawtooth signal representing the phase of a periodic signal. This may be done precisely, even when inexpensive fixed-point arithmetic is used. In one aspect of the invention, the input signal (noise plus true signal) 12 is filtered to produce, in succession: (a) mod one differentiated noise plus slope of true phase signal 28; (b) mod one differentiated noise plus slope of residual phase signal (true phase signal minus estimated slope of true phase signal) 36; (c) mod one differentiated noise 46; (d) estimated noise 62; and (e) smoothed phase signal 72. In a second aspect, a noisy phase signal 12 is extracted from a first arbitrary periodic signal and the above steps are used to generate a noise-reduced phase signal 72. The noise-reduced phase signal 72 is then used to generate a second arbitrary periodic signal of the same frequency.

    摘要翻译： 可以从表示周期性信号的相位的数字锯齿波信号中减少或消除噪声。 这可以精确地完成，即使使用便宜的定点运算。 在本发明的一个方面，输入信号（噪声加真实信号）12被滤波以产生：（a）模仿一个微分噪声加上真相信号28的斜率; （b）将一个微分噪声加上残差相位信号的斜率（真相信号减去真相信号的估计斜率）36; （c）模仿一种差异化噪声46; （d）估计噪音62; 和（e）平滑的相位信号72.在第二方面，从第一任意周期信号中提取噪声相位信号12，并且使用上述步骤来产生降噪相位信号72.噪声降低相位信号72 然后用于产生相同频率的第二任意周期信号。

    Product code memory Itakura-Saito (MIS) measure for sound recognition
    6.
    发明授权
    Product code memory Itakura-Saito (MIS) measure for sound recognition 失效
    产品代码存储器Itakura-Saito（MIS）测量声音识别

    公开(公告)号：US5274739A

    公开(公告)日：1993-12-28

    申请号：US869275

    申请日：1992-04-15

    申请人： Jeffrey P. Woodard

    发明人： Jeffrey P. Woodard

    IPC分类号： G10L15/10 ,  G10L15/14 ,  G10L9/00

    CPC分类号： G10L15/10 ,  G10L15/144

    摘要： A SOUND RECOGNITION PROCESS comprises training a sound recognition system to a shape Hidden Markov Model (HMM) from a shape codebook of shape codewords, and to a separate gain HMM from a gain codebook of gain codewords. An unknown token is assigned to the sound category associated with the shape HMM and gain HMM with the greatest probability product. Shape and gain codewords replacements for incoming Linear Predictive Coded (LPC) vectors are selected by choosing the codeword with minimum distortion between the codeword and a combination of the vector and some of the preceding codewords, exponentially weighted by time.

    摘要翻译： 声音识别过程包括从形状码字的形状码本到形状隐马尔可夫模型（HMM）和从增益码字的增益码本分离的增益HMM来训练声音识别系统。 将未知令牌分配给与形状HMM相关联的声音类别，并以最大概率乘积获得增益HMM。 通过选择代码字与矢量与一些先前码字的组合之间的最小失真，以时间指数加权来选择输入线性预测编码（LPC）向量的形状和增益码字替换。