HARDWARE ARITHMETIC ENGINE FOR LAMBDA RULE COMPUTATIONS
    11.
    发明申请
    HARDWARE ARITHMETIC ENGINE FOR LAMBDA RULE COMPUTATIONS 审中-公开
    硬件算术引擎用于林肯法规计算

    公开(公告)号:WO2008054962A3

    公开(公告)日:2008-07-03

    申请号:PCT/US2007080771

    申请日:2007-10-09

    CPC classification number: H03H17/0261

    Abstract: A recursive lambda rule engine (114, 302) includes a first multiplier (204) that sequentially multiplies each of series of inputs by a nonlinearity determining parameter and supplies results to a second multiplier (214) that multiplies the output of the first multiplier (204) by a previous output of the engine (114, 302). A three input adder (220, 228) sequentially sums the output of the second multiplier (214), inputs from the series of inputs, and the previous output of the engine (114, 302). A shift register (244) is used to feedback the output of the engine (114, 302) to the three input adder (220, 228) and second multiplier (214). A MUX (234) is used to route an initial value through the shift register (244) for the first cycle of operation.

    Abstract translation: 递归λ规则引擎(114,302)包括第一乘法器(204),该第一乘法器(204)通过非线性确定参数顺序地乘以输入序列中的每一个,并将结果提供给第二乘法器(214),该乘法器将第一乘法器 )通过发动机(114,302)的先前输出。 三输入加法器(220,228)将第二乘法器(214)的输出,一系列输入的输入和发动机(114,302)的先前输出顺序相加。 移位寄存器(244)用于将发动机(114,302)的输出反馈到三输入加法器(220,228)和第二乘法器(214)。 MUX(234)用于通过移位寄存器(244)将初始值路由到第一个操作周期。

    METHOD FOR OPTIMIZATION OF Q-FILTER KERNEL PARAMETERS
    12.
    发明申请
    METHOD FOR OPTIMIZATION OF Q-FILTER KERNEL PARAMETERS 审中-公开
    Q过滤器KERNEL参数优化方法

    公开(公告)号:WO2006088569A2

    公开(公告)日:2006-08-24

    申请号:PCT/US2006000438

    申请日:2006-01-05

    CPC classification number: H03H17/0261 H03H17/0294

    Abstract: A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is based on an extension of the well-known Sugeno ?-Measure. In order to optimize the Q-Filter kernel parameters, the value of an error function is minimized. The error function is based on difference between the filtered signal and target signal, with the target signal being a desired result of filtering.

    Abstract translation: Q滤波器是一种可重构技术,可执行线性和非线性滤波操作的连续性。 它由独特的数学结构建模,利用称为Q-Measure的功能,使用一组可调内核参数定义,以实现各种有用的,新的和常规的过滤操作的高效硬件和软件实现。 Q-Measure基于着名的Sugeno?-Measure的扩展。 为了优化Q-Filter内核参数,误差函数的值被最小化。 误差函数基于滤波信号和目标信号之间的差异,目标信号是期望的滤波结果。

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