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    • 1. 发明申请
    • Model based testing for electronic devices
    • 电子设备基于模型的测试
    • US20060155411A1
    • 2006-07-13
    • US11098080
    • 2005-04-04
    • Ajay KhocheNicholas TufillaroStanley JeffersonLee Barford
    • Ajay KhocheNicholas TufillaroStanley JeffersonLee Barford
    • G06F19/00
    • G01R31/319G01R31/31917G01R31/3193
    • The model-based method tests compliance of production devices with the performance specifications of a device design. The production devices are manufactured in accordance with the device design by a manufacturing process. In the method, a simple model form based on the device design and the performance specifications is developed, a stimulus for testing the production devices is specified and each production device is tested. The model form has a basis function and model form parameters for the basis function. The model form parameters are dependent on the manufacturing process and differ in value among the production devices. A production device is tested by measuring the response of the production device to the stimulus; extracting, using the model form, the values of the model form parameters for the production device from the measured response and the stimulus; and checking compliance of the production device with the performance specifications using the extracted values of the model form parameters.
    • 基于模型的方法测试生产设备的符合性与设备设计的性能规格。 生产设备根据制造过程的设备设计制造。 在该方法中,开发了基于设备设计和性能规范的简单模型,指定了对生产设备进行测试的刺激措施,并对每个生产设备进行了测试。 模型形式具有基函数和基函数的模型形式参数。 模型形式参数取决于制造过程,并且生产装置之间的价值不同。 通过测量生产装置对刺激的响应来测试生产装置; 使用模型形式从测量的响应和刺激中提取生产设备的模型形状参数的值; 并使用提取的模型形式参数的值来检查生产设备的性能规格。
    • 2. 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。
    • 3. 发明申请
    • Multi-Pulse Signal Generator Based on a Sawtooth Chirp
    • 基于锯齿啁啾的多脉冲信号发生器
    • US20090290658A1
    • 2009-11-26
    • US12125698
    • 2008-05-22
    • George MooreNicholas Tufillaro
    • George MooreNicholas Tufillaro
    • H04L27/00
    • H04L27/12
    • A method generating a digital waveform, pulse generators and VNAs based thereon are disclosed. The digital waveform is generated in response to user-supplied parameters defining a sawtooth chirp signal. A digital baseband chirp signal that depends on the input parameters is first generated and then the digital baseband signal is upconverted to a center frequency to form an upconverted chirp signal. The upconverted chirp signal is then converted to an M-ary signal having M levels and then (optionally) filtered through a band pass filter to attenuate frequency components of the digital chirp signal outside a predetermined band of frequencies. The digital baseband chirp signal can also include the sum of first and second chirp signals having amplitudes and phase determined to reduce variations in amplitude as a function of frequency in a predetermined band of frequencies.
    • 公开了一种产生数字波形的方法,脉冲发生器和基于其的VNA。 响应于定义锯齿形线性调频脉冲信号的用户提供的参数产生数字波形。 首先产生取决于输入参数的数字基带线性调频脉冲信号,然后将数字基带信号上变频到中心频率,形成上变频啁啾信号。 然后将上变频的啁啾信号转换为具有M个电平的M元信号,然后(可选地)通过带通滤波器滤波,以衰减预定频带范围之外的数字线性调频脉冲信号的频率分量。 数字基带啁啾信号还可以包括具有确定的幅度和相位的第一和第二线性调频脉冲信号的和,以减小作为预定频带频率的函数的幅度变化。
    • 6. 发明授权
    • 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
    • US07099435B2
    • 2006-08-29
    • US10714321
    • 2003-11-15
    • John M. HeumannColin FoxDavid GinesNicholas Tufillaro
    • John M. HeumannColin FoxDavid GinesNicholas Tufillaro
    • G01N23/083
    • 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。