TECHNIQUES FOR POWER EFFICIENT OVERSAMPLING SUCCESSIVE APPROXIMATION REGISTER

    公开(公告)号:US20170317683A1

    公开(公告)日:2017-11-02

    申请号:US15583183

    申请日:2017-05-01

    CPC classification number: H03M1/0854 H03M1/002 H03M1/468 H03M3/426 H03M3/458

    Abstract: Systems and methods are disclosed for a noise-shaping successive approximation register (SAR) analog-to-digital-converter (ADC) using Sampled Analog Technology (SAT) filter techniques for filter construction. A SAR ADC includes an SAR for receiving an analog input signal and outputting a digital decision, a digital-to-analog converter and logic circuitry for converting the digital decision of the SAR to a present analog residue for a present conversion cycle, a filter for processing a previous analog residue from a previous conversion cycle, and for feeding a processed previous analog residue back to the SAR, a summer for summing the processed previous analog residue from the filter and the present analog residue, and generating a summer output, and a comparator for comparing the summer output and a first reference signal and generating a comparator output. The filter includes a capacitor array for filtering the previous analog residue to generate the processed previous analog residue.

    SYSTEMS AND METHODS FOR ULTRASOUND BEAMFORMING

    公开(公告)号:US20200249334A1

    公开(公告)日:2020-08-06

    申请号:US16840789

    申请日:2020-04-06

    Abstract: A system for ultrasound beamforming is provided, including a sampled analog beamformer, an array of ultrasound transducers, and a high voltage amplifier coupled to the sampled analog beamformer and the array of ultrasound transducers. The sampled analog beamformer includes a sampled analog filter for filtering an incoming analog signal and adding a fractional delay, and transmitting a filtered analog ultrasound signal. The array of ultrasound transducers further transmits the filtered analog ultrasound signal. The high voltage amplifier drives transducers in the array of ultrasound transducers.

    ANALOG SWITCHED-CAPACITOR NEURAL NETWORK
    4.
    发明申请

    公开(公告)号:US20190080231A1

    公开(公告)日:2019-03-14

    申请号:US16125621

    申请日:2018-09-07

    Abstract: Systems and methods are provided for reducing power in in-memory computing, matrix-vector computations, and neural networks. An apparatus for in-memory computing using charge-domain circuit operation includes transistors configured as memory bit cells, transistors configured to perform in-memory computing using the memory bit cells, capacitors configured to store a result of in-memory computing from the memory bit cells, and switches, wherein, based on a setting of each of the switches, the charges on at least a portion of the plurality of capacitors are shorted together. Shorting together the plurality of capacitors yields a computation result.

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