MULTIPLYING ANALOG TO DIGITAL CONVERTER AND METHOD
    1.
    发明申请
    MULTIPLYING ANALOG TO DIGITAL CONVERTER AND METHOD 有权
    将数字模拟转换为数字转换器和方法

    公开(公告)号:US20160248437A1

    公开(公告)日:2016-08-25

    申请号:US15049752

    申请日:2016-02-22

    IPC分类号: H03M1/44

    摘要: A multiplying analog to digital converter (ADC) including a successive-approximation-register (SAR) analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

    摘要翻译: 包括具有采样输入和反馈输入的逐次逼近寄存器(SAR)模数转换器(ADC)的乘法模数转换器(ADC)和被配置为将ADC输出耦合到 一个数模转换器。 反馈衰减器设置在反馈路径中,反馈衰减器被配置为衰减耦合到反馈输入的反馈信号,该反馈衰减器被配置为提供在ADC输出处观察到的模拟乘法。 桶形移位器被配置为提供ADC输出的数字乘法。 反馈衰减器可以被配置为分频器网络。 反馈衰减器可以被配置为仅使用无源部件来提供衰减。 反馈衰减器可以被配置为电容分压网络。 反馈衰减器可以被配置为提供范围在1和0.5之间的衰减。

    Multiplying analog to digital converter and method
    2.
    发明授权
    Multiplying analog to digital converter and method 有权
    乘以模数转换器和方法

    公开(公告)号:US09503118B2

    公开(公告)日:2016-11-22

    申请号:US15049752

    申请日:2016-02-22

    IPC分类号: H03M1/38 H03M1/44

    摘要: A multiplying analog to digital converter (ADC) including a successive-approximation-register (SAR) analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

    摘要翻译: 包括具有采样输入和反馈输入的逐次逼近寄存器(SAR)模数转换器(ADC)的乘法模数转换器(ADC)和被配置为将ADC输出耦合到 一个数模转换器。 反馈衰减器设置在反馈路径中,反馈衰减器被配置为衰减耦合到反馈输入的反馈信号,该反馈衰减器被配置为提供在ADC输出处观察到的模拟乘法。 桶形移位器被配置为提供ADC输出的数字乘法。 反馈衰减器可以被配置为分频器网络。 反馈衰减器可以被配置为仅使用无源部件来提供衰减。 反馈衰减器可以被配置为电容分压网络。 反馈衰减器可以被配置为提供范围在1和0.5之间的衰减。

    MULTIPLYING ANALOG TO DIGITAL CONVERTER AND METHOD
    3.
    发明申请
    MULTIPLYING ANALOG TO DIGITAL CONVERTER AND METHOD 有权
    将数字模拟转换为数字转换器和方法

    公开(公告)号:US20170019121A1

    公开(公告)日:2017-01-19

    申请号:US15277434

    申请日:2016-09-27

    IPC分类号: H03M1/12 H03M1/10

    摘要: A multiplying analog to digital converter including an analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

    摘要翻译: 包括具有采样输入和反馈输入的模/数转换器(ADC)的乘法模数转换器和配置有将ADC输出耦合到数模转换器的反馈路径的ADC输出。 反馈衰减器设置在反馈路径中,反馈衰减器被配置为衰减耦合到反馈输入的反馈信号,该反馈衰减器被配置为提供在ADC输出处观察到的模拟乘法。 桶形移位器被配置为提供ADC输出的数字乘法。 反馈衰减器可以被配置为分频器网络。 反馈衰减器可以被配置为仅使用无源部件来提供衰减。 反馈衰减器可以被配置为电容分压网络。 反馈衰减器可以被配置为提供范围在1和0.5之间的衰减。

    Machine-learning classifier based on comparators for direct inference on analog sensor data

    公开(公告)号:US10853737B2

    公开(公告)日:2020-12-01

    申请号:US15049817

    申请日:2016-02-22

    IPC分类号: G06N20/00

    摘要: A weak binary classifier configured to receive an input signal for classification and generate a classification output is disclosed. The weak binary classifier includes a plurality of weighting amplifier stages, each weighting amplifier stage being configured to receive the input signal for classification and a weighting input derived from a classifier model and generate a weighted input signal, the plurality of weighting amplifier stages being configured to generate a plurality of positive weighted input signals coupled to a positive summing node and a plurality of negative weighted input signals coupled to a negative summing node. The weak binary classifier also includes a comparator having a non-inverting input coupled to the positive summing node and an inverting input coupled to the negative summing node and being configured to generate a weak classification output based on the plurality of weighted input signals.

    Thin-film Sensing and Classification System
    5.
    发明申请
    Thin-film Sensing and Classification System 审中-公开
    薄膜感知与分类系统

    公开(公告)号:US20160247043A1

    公开(公告)日:2016-08-25

    申请号:US15048786

    申请日:2016-02-19

    IPC分类号: G06K9/62 H04N5/225 H04N5/232

    摘要: Large-area electronics (LAE) enables the formation of a large number of sensors capable of spanning dimensions on the order of square meters. An example is X-ray imagers, which have been scaling both in dimension and number of sensors, today reaching millions of pixels. However, processing of the sensor data requires interfacing thousands of signals to CMOS ICs, because the implementation of complex functions in LAE has proven unviable due to the low electrical performance and inherent variability of the active devices available, namely amorphous silicon (a-Si) thin-film transistors (TFTs) on glass. Envisioning applications that perform sensing on even greater scales, disclosed is an approach whereby high-quality image detection is performed directly in the LAE domain using TFTs. The high variability and number of process defects affecting both the TFTs and sensors are overcome using a machine-learning algorithm, known as Error-Adaptive Classifier Boosting (EACB), to form an embedded classifier. Through EACB, the high-dimensional sensor data can be reduced to a small number of weak-classifier decisions, which can then be combined in the CMOS domain to generate a strong-classifier decision.

    摘要翻译: 大面积电子(LAE)可以形成大量的传感器,能够跨越平方米的尺寸。 一个例子是X射线成像仪,其尺寸和传感器数量已经缩小,今天达到数百万像素。 然而,传感器数据的处理需要将数千个信号连接到CMOS IC,因为LAE中的复杂功能的实现被证明是不可行的,因为可用的有源器件(即非晶硅(a-Si))具有低的电性能和固有的可变性, 玻璃上的薄膜晶体管(TFT)。 公开了一种使用TFT直接在LAE领域中进行高品质图像检测的方法。 使用称为误差自适应分类器升压(EACB)的机器学习算法来克服影响TFT和传感器两者的高变异性和数量的过程缺陷,以形成嵌入式分类器。 通过EACB,可以将高维度传感器数据减少到少量的弱分类器决策,然后将其组合在CMOS域中以产生强分类器决策。

    MACHINE-LEARNING CLASSIFIER BASED ON COMPARATORS FOR DIRECT INFERENCE ON ANALOG SENSOR DATA

    公开(公告)号:US20170243124A1

    公开(公告)日:2017-08-24

    申请号:US15049817

    申请日:2016-02-22

    IPC分类号: G06N5/04 G06N99/00

    CPC分类号: G06N20/00

    摘要: A weak binary classifier configured to receive an input signal for classification and generate a classification output is disclosed. The weak binary classifier includes a plurality of weighting amplifier stages, each weighting amplifier stage being configured to receive the input signal for classification and a weighting input derived from a classifier model and generate a weighted input signal, the plurality of weighting amplifier stages being configured to generate a plurality of positive weighted input signals coupled to a positive summing node and a plurality of negative weighted input signals coupled to a negative summing node. The weak binary classifier also includes a comparator having a non-inverting input coupled to the positive summing node and an inverting input coupled to the negative summing node and being configured to generate a weak classification output based on the plurality of weighted input signals.

    System and method for interfacing large-area electronics with integrated circuit devices
    7.
    发明授权
    System and method for interfacing large-area electronics with integrated circuit devices 有权
    将大面积电子与集成电路器件连接的系统和方法

    公开(公告)号:US09391220B2

    公开(公告)日:2016-07-12

    申请号:US13367856

    申请日:2012-02-07

    摘要: A system and method for interfacing large-area electronics with integrated circuit devices is provided. The system may be implemented in an electronic device including a large area electronic (LAE) device disposed on a substrate. An integrated circuit IC is disposed on the substrate. A non-contact interface is disposed on the substrate and coupled between the LAE device and the IC. The non-contact interface is configured to provide at least one of a data acquisition path or control path between the LAE device and the IC.

    摘要翻译: 提供了一种用于将大面积电子器件与集成电路器件接口的系统和方法。 该系统可以在包括设置在基板上的大面积电子(LAE)装置的电子设备中实现。 集成电路IC设置在基板上。 非接触界面设置在衬底上并耦合在LAE器件和IC之间。 非接触接口被配置为提供LAE设备和IC之间的数据采集路径或控制路径中的至少一个。

    BIOMEDICAL DEVICE FOR COMPREHENSIVE AND ADAPTIVE DATA-DRIVEN PATIENT MONITORING
    10.
    发明申请
    BIOMEDICAL DEVICE FOR COMPREHENSIVE AND ADAPTIVE DATA-DRIVEN PATIENT MONITORING 审中-公开
    用于综合和自适应数据驱动患者监测的生物医学设备

    公开(公告)号:US20130080808A1

    公开(公告)日:2013-03-28

    申请号:US13247126

    申请日:2011-09-28

    IPC分类号: G06F1/32 G06F15/18

    摘要: A biomedical device for comprehensive and a data-driven patient monitoring is disclosed. The biomedical device includes a receiver to receive sensor data associated with physiological signals and perform feature computations on the sensor data. A control system is included to classify the sensor data using the feature computations to generate medically-relevant decisions and identify relevant data instances, and to automatically select a set of relevant data instances. A base station or programming interface can provide a patient-generic seed model to the biomedical device. The patient-specific seed model is usable by the control system to automatically select a coarse set of relevant data instances that are transmitted to the base station, which in turn analyzes the coarse set of relevant data instances to generate a patient-specific model. The biomedical device receives the patient-specific model, which is usable by the control system to automatically select a refined set of relevant data instances.

    摘要翻译: 公开了用于综合和数据驱动的患者监测的生物医学装置。 生物医学装置包括接收器,用于接收与生理信号相关联的传感器数据,并对传感器数据执行特征计算。 包括一个控制系统,使用特征计算对传感器数据进行分类,以产生医学上相关的决策并识别相关的数据实例,并自动选择一组相关的数据实例。 基站或编程接口可以向生物医学装置提供患者通用种子模型。 患者特定的种子模型可由控制系统使用以自动选择传输到基站的粗略的相关数据实例集,其又分析粗略的相关数据实例集以产生患者特定模型。 生物医学装置接收患者特异性模型,该模型可由控制系统自动选择一组精细的相关数据实例。