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    • 1. 发明授权
    • Power plane splitting using a contour method
    • 使用轮廓法进行动力平面分割
    • US06846992B2
    • 2005-01-25
    • US10453302
    • 2003-06-03
    • Alfonso Benjamin AmparanDavid GinesKevin Lee Wible
    • Alfonso Benjamin AmparanDavid GinesKevin Lee Wible
    • G06F17/50H05K1/02H05K3/00H05K1/00H02M1/00
    • H05K3/0005G06F17/5068H05K1/0216H05K2201/093H05K2201/09663
    • A method for power plane splitting. The method enables the traces on a power plane to be organized so that the conductor area is expanded while still ensuring that components with similar power supply requirements are coupled to the same trace. A potential field of a power plane of a printed circuit board is calculated by assigning one or more potential values to one or more components coupled to the printed circuit board and solving for a plurality of potential field values at a plurality of locations between the one or more components. One or more boundaries between the one or more components are defined by selecting contours of constant potential within the calculated potential field. One or more traces on the power plane are created using the one or more boundaries, wherein the one or more traces connect a corresponding one or more pluralities of components and each plurality of components of the one or more.
    • 一种电力平面分裂的方法。 该方法使得能够组织电力平面上的迹线,使得导体区域被扩展,同时仍然确保具有相似电源要求的部件耦合到相同的迹线。 通过将一个或多个电位值分配给耦合到印刷电路板的一个或多个分量并且在多个位置之间求解多个势场来计算印刷电路板的电源平面的电场, 更多的组件。 一个或多个组件之间的一个或多个边界是通过在计算的电场中选择恒定电位的轮廓来定义的。 功率平面上的一个或多个迹线使用一个或多个边界产生,其中一个或多个迹线连接相应的一个或多个多个部件和一个或多个的每个多个部件。
    • 5. 发明申请
    • Correction of vibration-induced and random positioning errors in tomosynthesis
    • 振动诱导和随机定位误差在体层合成中的校正
    • US20070206847A1
    • 2007-09-06
    • US11369114
    • 2006-03-06
    • John HeumannDavid GinesDaniel Usikov
    • John HeumannDavid GinesDaniel Usikov
    • G06K9/00G06K9/40
    • G06T11/008A61B6/025G06T7/0004G06T2207/10112G06T2207/30108
    • A method and system for correcting positioning errors in a feature projected image set comprising projections of an object under inspection includes identifying at least one region of interest in at least one respective projection from the feature projected image set that substantially corresponds to a corresponding region of interest in a reconstructed image generated based on the feature projected image set, and estimating a respective corrective shift corresponding to the at least one respective projection and applying the respective corrective shift to generate a corresponding at least one corrected respective projection wherein the identified at least one region of interest in the corresponding at least one corrected respective projection is substantially coincident with the corresponding region of interest the reconstructed image. A corrected reconstructed image may then be generated using the at least one corrected respective projection.
    • 一种用于校正包括被检查物体的投影的特征投影图像集中的定位误差的方法和系统,包括从基本上对应于相关感兴趣区域的特征投影图像集中至少一个相应投影中识别至少一个相关投影区域中的至少一个区域 在基于所述特征投影图像集合生成的重建图像中,以及估计与所述至少一个相应投影相对应的相应校正移位并应用相应的校正偏移以产生相应的至少一个校正的相应投影,其中所述所识别的至少一个区域 在对应的至少一个校正的相应投影中感兴趣的基本上与重构图像的相关关注区域一致。 然后可以使用至少一个校正的相应投影来生成校正的重建图像。
    • 6. 发明申请
    • Likelihood Map System for Localizing an Emitter
    • 用于本地化发射器的似然图系统
    • US20100138184A1
    • 2010-06-03
    • US12326020
    • 2008-12-01
    • Andrew David FernandezDavid GinesRobert Thomas CutlerDietrich Werner Vook
    • Andrew David FernandezDavid GinesRobert Thomas CutlerDietrich Werner Vook
    • G06F19/00
    • G01S5/14G01S5/02G01S5/0252G01S5/0278H04W64/00
    • A system and a method for displaying an emitter location are disclosed. The system includes a plurality of receivers at different locations in a field. Each receiver generates a receiver signal that depends on the magnitude of a signal from the emitter. The system also includes a processor that receives the receiver signal and generates a likelihood map indicative of an approximation of a probability as a function of position in the field of the emitter location. The likelihood map includes a plurality of receiver maps. Each receiver map includes a probability as a function of position in the field of the emitter location based on the signal magnitude for at least one of the receiver signals. Each receiver map may depend on a ratio of the signal magnitudes from a corresponding pair of the receivers, or on one of the signal magnitudes from a corresponding one of the receivers.
    • 公开了一种用于显示发射器位置的系统和方法。 该系统在现场的不同位置包括多个接收器。 每个接收器产生取决于来自发射器的信号幅度的接收机信号。 该系统还包括处理器,其接收接收机信号并产生指示作为发射器位置的场中的位置的函数的概率近似的似然图。 似然图包括多个接收器映射。 每个接收机映射图基于对于至少一个接收机信号的信号幅度,包括作为发射器位置的场中的位置的函数的概率。 每个接收机映射可以取决于来自相应的一对接收机的信号幅度的比率,或者来自相应的一个接收机的信号幅度之一。
    • 7. 发明授权
    • Likelihood map system for localizing an emitter
    • 用于本地化发射器的似然图系统
    • US08504322B2
    • 2013-08-06
    • US12326020
    • 2008-12-01
    • Andrew David FernandezDavid GinesRobert Thomas CutlerDietrich Werner Vook
    • Andrew David FernandezDavid GinesRobert Thomas CutlerDietrich Werner Vook
    • G01C9/00
    • G01S5/14G01S5/02G01S5/0252G01S5/0278H04W64/00
    • A system and a method for displaying an emitter location are disclosed. The system includes a plurality of receivers at different locations in a field. Each receiver generates a receiver signal that depends on the magnitude of a signal from the emitter. The system also includes a processor that receives the receiver signal and generates a likelihood map indicative of an approximation of a probability as a function of position in the field of the emitter location. The likelihood map includes a plurality of receiver maps. Each receiver map includes a probability as a function of position in the field of the emitter location based on the signal magnitude for at least one of the receiver signals. Each receiver map may depend on a ratio of the signal magnitudes from a corresponding pair of the receivers, or on one of the signal magnitudes from a corresponding one of the receivers.
    • 公开了一种用于显示发射器位置的系统和方法。 该系统在现场的不同位置包括多个接收器。 每个接收器产生取决于来自发射器的信号幅度的接收机信号。 该系统还包括处理器,其接收接收机信号并产生指示作为发射器位置的场中的位置的函数的概率近似的似然图。 似然图包括多个接收器映射。 每个接收机映射图基于对于至少一个接收机信号的信号幅度,包括作为发射器位置的场中的位置的函数的概率。 每个接收机映射可以取决于来自相应的一对接收机的信号幅度的比率,或者来自相应的一个接收机的信号幅度之一。
    • 8. 发明授权
    • System and method for performing auto-focused tomosynthesis
    • 用于进行自动聚焦的断层合成的系统和方法
    • US07424141B2
    • 2008-09-09
    • US10651667
    • 2003-08-29
    • David GinesTracy K. RaglandJohn M. Heumann
    • David GinesTracy K. RaglandJohn M. Heumann
    • G06K9/00
    • G06T11/005A61B6/025G06T2211/436
    • A system and method for performing auto-focusing operations for tomosynthetic reconstruction of images are provided. More specifically, embodiments of the present invention provide a system and method for efficiently computing the gradient of one or more depth layers of an object under inspection, wherein such gradients may be used in performing auto-focusing operations to determine a depth layer that includes an in-focus view of a feature that is of interest. In at least one embodiment, a method is provided that comprises capturing detector image data for an object under inspection, and using the detector image data for computing gradient information for at least one depth layer of the object under inspection without first tomosynthetically reconstructing a full image of the at least one depth layer.
    • 提供了一种用于执行图像重建的自动聚焦操作的系统和方法。 更具体地,本发明的实施例提供了一种用于有效地计算被检查物体的一个或多个深层的梯度的系统和方法,其中这种梯度可用于执行自动聚焦操作以确定深度层,其包括 焦点视图中的一个功能是感兴趣的。 在至少一个实施例中,提供了一种方法,其包括捕获检测对象的检测器图像数据,并且使用检测器图像数据来计算被检查物体的至少一个深度层的梯度信息,而无需首先合成重建完整图像 的至少一个深度层。
    • 9. 发明申请
    • Highly constrained tomography for automated inspection of area arrays
    • 用于区域阵列自动检查的高度限制层析成像
    • US20050105682A1
    • 2005-05-19
    • US10714321
    • 2003-11-15
    • John HeumannColin FoxDavid GinesNicholas Tufillaro
    • John HeumannColin FoxDavid GinesNicholas Tufillaro
    • G01N23/04G01B15/06G01N23/02
    • G01N23/046G01N2223/419
    • A tomographic reconstruction method and system incorporating Bayesian estimation techniques to inspect and classify regions of imaged objects, especially objects of the type typically found in linear, areal, or 3-dimensional arrays. The method and system requires a highly constrained model M that incorporates prior information about the object or objects to be imaged, a set of prior probabilities P(M) of possible instances of the object; a forward map that calculates the probability density P(D|M), and a set of projections D of the object. Using Bayesian estimation, the posterior probability p(M|D) is calculated and an estimated model MEST of the imaged object is generated. Classification of the imaged object into one of a plurality of classifications may be performed based on the estimated model MEST, the posterior probability p(M|D) or MAP function, or calculated expectation values of features of interest of the object.
    • 一种包含贝叶斯估计技术的断层重建方法和系统,用于检查和分类成像对象的区域,特别是通常在线性,面积或3维阵列中找到的类型的对象。 该方法和系统需要高度约束的模型M,其包含关于要成像的对象或对象的先前信息,对象的可能实例的一组先验概率P(M) 计算概率密度P(D | M)的前向映射和对象的一组投影D. 使用贝叶斯估计,计算后验概率p(M | D),并且生成成像对象的估计模型M EST。 可以基于估计的模型EST,后验概率p(M | D)或MAP函数或计算的特征的期望值来执行将成像对象分类为多个分类之一 对象的兴趣。