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公开(公告)号：US07769583B2
公开(公告)日：2010-08-03
申请号：US11383199
申请日：2006-05-13
CPC分类号： G10L17/06
摘要： A system, method and computer program product for classification of an analog electrical signal using statistical models of training data. A technique is described to quantize the analog electrical signal in a manner which maximizes the compression of the signal while simultaneously minimizing the diminution in the ability to classify the compressed signal. These goals are achieved by utilizing a quantizer designed to minimize the loss in a power of the log-likelihood ratio. A further technique is described to enhance the quantization process by optimally allocating a number of bits for each dimension of the quantized feature vector subject to a maximum number of bits available across all dimensions.
摘要翻译： 一种使用训练数据的统计模型对模拟电信号进行分类的系统，方法和计算机程序产品。 描述了一种技术来以使信号压缩最大化的方式对模拟电信号进行量化，同时最小化对压缩信号进行分类的能力的减小。 这些目标通过利用设计用于最小化对数似然比的功率损失的量化器来实现。 描述了另一种技术，以通过对经过所有维度可用的最大位数的量化特征向量的每个维度最佳地分配位数来增强量化过程。
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公开(公告)号：US20100191531A1
公开(公告)日：2010-07-29
申请号：US12753859
申请日：2010-04-03
IPC分类号： G10L15/28
CPC分类号： G10L17/06
摘要： A system, method and computer program product for classification of an analog electrical signal using statistical models of training data. A technique is described to quantize the analog electrical signal in a manner which maximizes the compression of the signal while simultaneously minimizing the diminution in the ability to classify the compressed signal. These goals are achieved by utilizing a quantizer designed to minimize the loss in a power of the log-likelihood ratio. A further technique is described to enhance the quantization process by optimally allocating a number of bits for each dimension of the quantized feature vector subject to a maximum number of bits available across all dimensions.
摘要翻译： 一种使用训练数据的统计模型对模拟电信号进行分类的系统，方法和计算机程序产品。 描述了一种技术来以使信号压缩最大化的方式对模拟电信号进行量化，同时最小化对压缩信号进行分类的能力的减小。 这些目标通过利用设计用于最小化对数似然比的功率损失的量化器来实现。 描述了另一种技术，以通过对经过所有维度可用的最大位数的量化特征向量的每个维度最佳地分配位数来增强量化过程。
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公开(公告)号：US08271278B2
公开(公告)日：2012-09-18
申请号：US12753859
申请日：2010-04-03
CPC分类号： G10L17/06
摘要： A system, method and computer program product for classification of an analog electrical signal using statistical models of training data. A technique is described to quantize the analog electrical signal in a manner which maximizes the compression of the signal while simultaneously minimizing the diminution in the ability to classify the compressed signal. These goals are achieved by utilizing a quantizer designed to minimize the loss in a power of the log-likelihood ratio. A further technique is described to enhance the quantization process by optimally allocating a number of bits for each dimension of the quantized feature vector subject to a maximum number of bits available across all dimensions.
摘要翻译： 一种使用训练数据的统计模型对模拟电信号进行分类的系统，方法和计算机程序产品。 描述了一种技术来以使信号压缩最大化的方式对模拟电信号进行量化，同时最小化对压缩信号进行分类的能力的减小。 这些目标通过利用设计用于最小化对数似然比的功率损失的量化器来实现。 描述了另一种技术，以通过对经过所有维度可用的最大位数的量化特征向量的每个维度最佳地分配位数来增强量化过程。
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4.发明申请SYSTEMS AND METHODS FOR ADAPTIVE SIGNAL SAMPLING AND SAMPLE QUANTIZATION FOR RESOURCE-CONSTRAINED STREAM PROCESSING 有权用于资源约束流程处理的自适应信号采样和样本量化的系统和方法公开(公告)号：US20080298503A1
公开(公告)日：2008-12-04
申请号：US11755356
申请日：2007-05-30
申请人： Lisa Amini , Daby M. Sow , Deepak S. Turaga , Olivier Verscheure
发明人： Lisa Amini , Daby M. Sow , Deepak S. Turaga , Olivier Verscheure
IPC分类号： H04L27/00
CPC分类号： A61B5/04012 , A61B5/04325 , A61B5/7232 , H03M7/30
摘要： Systems and methods for adaptive signal sampling and sample quantization for resource-constrained stream processing. Exemplary embodiments include a signal sampling and signal quantization method for a data stream from a ECG sensor into a pervasive device, the method including adaptively sampling the data stream, compressing data samples from the data stream, reducing the number of samples via quantization, defining a utility function for signal reconstruction, and formulating optimization on the reconstructed signal that is jointly sampled and quantized.
摘要翻译： 用于资源约束流处理的自适应信号采样和采样量化的系统和方法。 示例性实施例包括用于从ECG传感器到普及设备的数据流的信号采样和信号量化方法，所述方法包括对数据流进行自适应采样，从数据流压缩数据样本，通过量化减少样本数量， 用于信号重建的效用函数，并对联合采样和量化的重建信号进行了优化。
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公开(公告)号：US08855959B2
公开(公告)日：2014-10-07
申请号：US12871429
申请日：2010-08-30
IPC分类号： G01D3/00 , G01P21/00 , G01R31/319
CPC分类号： G01R31/31901 , G01R31/2894 , G01R31/3191
摘要： Processing test results from a plurality of individual semiconductor testers by analyzing each test result at an adaptive test engine. A centralized system jointly analyzes all the test results from the plurality of individual semiconductor testers. The adaptive test engine or the centralized system identifies, based on the analysis of each test result or the joint analysis of all the test results, one or more of: a test environmental issue, a tester variability issue, a tester calibration issue, a product variability issue, and a manufacturing process variability issue. The adaptive test engine or the centralized system determines whether one or more of the plurality of individual semiconductor testers causes one or more of the identified issues or whether semiconductor products tested by the plurality of individual semiconductor testers causes one or more of the identified issues.
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公开(公告)号：US08666988B2
公开(公告)日：2014-03-04
申请号：US12466101
申请日：2009-05-14
CPC分类号： H04L51/12
摘要： According to an exemplary embodiment of the present invention, a method to configure a network of classifiers includes configuring a plurality of classifiers in a network of classifiers, such that the configuring associates a plurality of operating points with each output branch, associating a different quality profile with each output point for each output branch in the plurality of classifiers, and storing the configured network of classifiers and quality profile associations in the computer system to be used for classifying future input data according to the network configuration and quality profile association. Each classifier comprises executable code that classifies the data. Each of said classifiers has a plurality of the output branches that each output the data to another classifier. Each operating point comprises a probability of determining that a data item input to the classifier has a particular characteristic and a probability that said determination falsely detected the characteristic.
摘要翻译： 根据本发明的示例性实施例，一种配置分类器网络的方法包括在分类器网络中配置多个分类器，使得所述配置将多个操作点与每个输出分支相关联，将不同质量分布 将多个分类器中的每个输出分支的每个输出点用于计算机系统中的分类器和质量配置文件关联的配置网络，以便根据网络配置和质量配置文件关联对未来的输入数据进行分类。 每个分类器包括对数据进行分类的可执行代码。 每个所述分类器具有多个输出分支，每个输出分支将数据输出到另一个分类器。 每个操作点包括确定输入到分类器的数据项具有特定特性的概率，以及所述确定错误地检测到该特性的概率。
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7.发明申请OPTIMAL TEST FLOW SCHEDULING WITHIN AUTOMATED TEST EQUIPMENT FOR MINIMIZED MEAN TIME TO DETECT FAILURE 审中-公开在自动测试设备中进行最佳测试流程调度，以最小化平均时间来检测故障公开(公告)号：US20110288808A1
公开(公告)日：2011-11-24
申请号：US12784142
申请日：2010-05-20
申请人： Wei Fan , Nagui Halim , Mark C. Johnson , Srinivasan Parthasarathy , Deepak S. Turaga , Olivier Verscheure
发明人： Wei Fan , Nagui Halim , Mark C. Johnson , Srinivasan Parthasarathy , Deepak S. Turaga , Olivier Verscheure
CPC分类号： G06F11/27 , G01R31/2894
摘要： The present invention describes a method and system for optimizing a test flow within each ATE (Automated Test Equipment) station. The test flow includes a plurality of test blocks. A test block includes a plurality of individual tests. A computing system schedule the test flow based one or more of: a test failure model, test block duration and a yield model. The failure model determines an order or sequence of the test blocks. There are at least two failure models: independent failure model and dependant failure model. The yield model describes whether a semiconductor chip is defective or not. Upon completing the scheduling, the ATE station conducts tests according to the scheduled test flow. The present invention can also be applied to software testing.
摘要翻译： 本发明描述了用于优化每个ATE（自动测试设备）站内的测试流程的方法和系统。 测试流程包括多个测试块。 测试块包括多个单独测试。 计算系统基于以下一个或多个来计划测试流程：测试失败模型，测试块持续时间和产量模型。 故障模型确定测试块的顺序或顺序。 至少有两种故障模型：独立故障模型和依赖故障模型。 产量模型描述了半导体芯片是否有缺陷。 完成调度后，ATE站根据预定的测试流程进行测试。 本发明也可以应用于软件测试。
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公开(公告)号：US08260034B2
公开(公告)日：2012-09-04
申请号：US12017779
申请日：2008-01-22
申请人： Lisa Amini , Brian Christopher Barker , Perry G. Hartswick , Deepak S. Turaga , Olivier Verscheure , Justin Wai-chow Wong
发明人： Lisa Amini , Brian Christopher Barker , Perry G. Hartswick , Deepak S. Turaga , Olivier Verscheure , Justin Wai-chow Wong
CPC分类号： G01N33/00 , G06F15/00 , G06K9/00 , G06K9/6293 , G06T7/001 , G06T2207/30148
摘要： A technique for identifying a defect in an object produced by a controllable process. A first type of data generated as a result of production of the object by the controllable process is obtained. A second type of data generated as a result of production of the object by the controllable process is obtained. The first type of data and the second type of data are jointly analyzed. A defect is identified in the object based on the joint analysis of the first type of data and the second type of data. By way of example, the controllable process comprises a semiconductor manufacturing process such as a silicon wafer manufacturing process and the object produced by the semiconductor manufacturing process comprises a processed wafer. The first type of data comprises tool trace data and the second type of data comprises wafer image data. The tool trace data is generated by a photolithographic tool.
摘要翻译： 用于识别由可控过程产生的物体中的缺陷的技术。 获得作为通过可控过程生成对象的结果生成的第一类型的数据。 获得通过可控过程生成对象的结果生成的第二类数据。 联合分析第一类数据和第二类数据。 基于第一类型数据和第二类型数据的联合分析，在对象中识别缺陷。 作为示例，可控制过程包括诸如硅晶片制造工艺的半导体制造工艺，并且通过半导体制造工艺生产的目标包括处理的晶片。 第一类型的数据包括工具跟踪数据，第二类型的数据包括晶片图像数据。 工具跟踪数据由光刻工具生成。
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9.发明授权Systems and methods for adaptive signal sampling and sample quantization for resource-constrained stream processing 有权用于资源约束流处理的自适应信号采样和采样量化的系统和方法公开(公告)号：US08199835B2
公开(公告)日：2012-06-12
申请号：US11755356
申请日：2007-05-30
申请人： Lisa Amini , Daby M. Sow , Deepak S. Turaga , Olivier Verscheure
发明人： Lisa Amini , Daby M. Sow , Deepak S. Turaga , Olivier Verscheure
IPC分类号： H04B14/04
CPC分类号： A61B5/04012 , A61B5/04325 , A61B5/7232 , H03M7/30
摘要： Systems and methods for adaptive signal sampling and sample quantization for resource-constrained stream processing. Exemplary embodiments include a signal sampling and signal quantization method for a data stream from a ECG sensor into a pervasive device, the method including adaptively sampling the data stream, compressing data samples from the data stream, reducing the number of samples via quantization, defining a utility function for signal reconstruction, and formulating optimization on the reconstructed signal that is jointly sampled and quantized.
摘要翻译： 用于资源约束流处理的自适应信号采样和采样量化的系统和方法。 示例性实施例包括用于从ECG传感器到普及设备的数据流的信号采样和信号量化方法，所述方法包括对数据流进行自适应采样，从数据流压缩数据样本，通过量化减少样本数量， 用于信号重建的效用函数，并对联合采样和量化的重建信号进行了优化。
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公开(公告)号：US20090185493A1
公开(公告)日：2009-07-23
申请号：US12017757
申请日：2008-01-22
申请人： Lisa Amini , Edward Sumner Begle , Brian Douglas Pfeifer , Deepak S. Turaga , Olivier Verscheure , Justin Wai-chow Wong , Gerett Raybourn Yocum
发明人： Lisa Amini , Edward Sumner Begle , Brian Douglas Pfeifer , Deepak S. Turaga , Olivier Verscheure , Justin Wai-chow Wong , Gerett Raybourn Yocum
IPC分类号： G06F11/00
CPC分类号： G05B19/41875 , G05B2219/32201 , G05B2219/45031 , Y02P90/22
摘要： A technique for analyzing two or more data streams respectively generated from two or more components of a controllable process includes the following steps. In a first step, a statistical analysis is performed on each of the two or more data streams to generate first analysis results in the form of respective statistical results for the two or more data streams. In a second step, at least a portion of the statistical results from at least one of the two or more data streams is combined with at least a portion of the statistical results from at least another one of the two or more data streams to yield second analysis results. The controllable process is adjustable based on at least one of the first analysis results and the second analysis results.
摘要翻译： 分析从可控过程的两个或多个组件分别产生的两个或更多个数据流的技术包括以下步骤。 在第一步骤中，对两个或更多个数据流中的每一个进行统计分析，以生成用于两个或多个数据流的相应统计结果形式的第一分析结果。 在第二步骤中，来自两个或多个数据流中的至少一个的统计结果的至少一部分与来自两个或更多数据流中的至少另一个的统计结果的至少一部分组合以产生第二 分析结果。 基于第一分析结果和第二分析结果中的至少一个，可控过程是可调节的。
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