Receiver with offset calibration
    421.
    发明授权

    公开(公告)号:US09674009B2

    公开(公告)日:2017-06-06

    申请号:US14942929

    申请日:2015-11-16

    Applicant: Rambus Inc.

    Inventor: Yikui Jen Dong

    Abstract: An on-chip AC coupled receiver with offset calibration. The receiver includes AC coupling circuitry to couple a differential input signal into a coupled differential signal having a first signal and a second signal. The receiver includes a first comparator to generate a first error signal indicative of whether a first reference signal is greater or smaller than a signal derived from the coupled differential signal. The receiver includes a second comparator to generate a second error signal indicative of whether a second reference signal is greater or smaller than the signal derived from the coupled differential signal. The receiver further includes feedback circuitry to adjust a voltage offset between the first signal and the second signal of the coupled differential signal based on the first error signal and the second error signal.

    OPTICAL FLOW SENSING AND PATTERN RECOGNITION WITH ANTI-SYMMETRIC PHASE GRATINGS

    公开(公告)号:US20170084046A1

    公开(公告)日:2017-03-23

    申请号:US15119701

    申请日:2015-02-19

    Applicant: Rambus Inc.

    Abstract: Computational diffractive imagers employ special optical phase gratings integrated with photodetector matrices. Such imagers do not require a lens, and so can be extremely small and inexpensive. Captured interference patterns are unintelligible to a human observer, but the captured data includes sufficient information to allow the image or aspects of the image to be computed. Computational diffractive imagers can be tailored to extract application-specific information or compute decisions (rather than compute an image) based on the optical signal. Both the phase grating and the signal processing can be optimized for the information in the visual field and the task at hand. For example, sequences of interference patterns can be compared to measure changes in angular position, and this information can be used to sense and measure motion. Such interference patterns can also be used for pattern recognition, such as to perform automated face detection and recognition.

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