EFFICIENT POLYPHASE ARCHITECTURE FOR INTERPOLATOR AND DECIMATOR

    公开(公告)号:US20210211144A1

    公开(公告)日:2021-07-08

    申请号:US17155723

    申请日:2021-01-22

    Abstract: Apparatuses (and methods of manufacturing same), systems, and methods concerning polyphase digital filters are described. In one aspect, an apparatus is provided, including at least one pair of subfilters, each having symmetric coefficients, and a lattice comprising two adders and feedlines corresponding to each of the at least one pair of subfilters, each having symmetric coefficients. In one aspect, the apparatus is a polyphase finite impulse response (FIR) digital filter, including an interpolator and a decimator, where each of the interpolator and the decimator have at least one pair of subfilters, each having symmetric coefficients, and a lattice comprising two adders and feedlines corresponding to each of the at least one pair of subfilters, each having symmetric coefficients.

    METHOD AND APPARATUS FOR VIDEO SUPER RESOLUTION USING CONVOLUTIONAL NEURAL NETWORK WITH TWO-STAGE MOTION COMPENSATION

    公开(公告)号:US20200294217A1

    公开(公告)日:2020-09-17

    申请号:US16887511

    申请日:2020-05-29

    Abstract: A method and an apparatus are provided. The method includes receiving a video with a first plurality of frames having a first resolution; generating a plurality of warped frames from the first plurality of frames based on a first type of motion compensation; generating a second plurality of frames having a second resolution, wherein the second resolution is of higher resolution than the first resolution, wherein each of the second plurality of frames having the second resolution is derived from a subset of the plurality of warped frames using a convolutional network; and generating a third plurality of frames having the second resolution based on a second type of motion compensation, wherein each of the third plurality of frames having the second resolution is derived from a fusing a subset of the second plurality of frames.

    APPARATUS AND METHOD FOR STUDENT-TEACHER TRANSFER LEARNING NETWORK USING KNOWLEDGE BRIDGE

    公开(公告)号:US20180336465A1

    公开(公告)日:2018-11-22

    申请号:US15867303

    申请日:2018-01-10

    Abstract: An apparatus, a method, a method of manufacturing and apparatus, and a method of constructing an integrated circuit are provided. The apparatus includes a teacher network; a student network; a plurality of knowledge bridges between the teacher network and the student network, where each of the plurality of knowledge bridges provides a hint about a function being learned, and where a hint includes a mean square error or a probability; and a loss function device connected to the plurality of knowledge bridges and the student network. The method includes training a teacher network; providing hints to a student network by a plurality of knowledge bridges between the teacher network and the student network; and determining a loss function from outputs of the plurality of knowledge bridges and the student network.

    APPARATUS AND METHOD FOR MODELING RANDOM PROCESS USING REDUCED LENGTH LEAST-SQUARES AUTOREGRESSIVE PARAMETER ESTIMATION

    公开(公告)号:US20180196906A1

    公开(公告)日:2018-07-12

    申请号:US15465181

    申请日:2017-03-21

    CPC classification number: G06F17/5036 G06F17/5072 G06F17/5081

    Abstract: An apparatus and method for modelling a random process using reduced length least-squares autoregressive parameter estimation is herein disclosed. The apparatus includes an autocorrelation processor, configured to generate or estimate autocorrelations of length m for a stochastic process, where m is an integer; and a least-squares (LS) estimation processor connected to the autocorrelation processor and configured to model the stochastic process by estimating pth order autoregressive (AR) parameters using LS regression, where p is an integer much less than m. The method includes generating, by an autocorrelation processor, autocorrelations of length m for a stochastic process, where m is an integer; and modelling the stochastic process, by a least-squares estimation processor, by estimating pth order autoregressive (AR) parameters by least-squares (LS) regression, where p is an integer much less than m.

    SOFT CHANNEL TRACKING USING DETECTION OUTPUT
    29.
    发明申请

    公开(公告)号:US20180167123A1

    公开(公告)日:2018-06-14

    申请号:US15447899

    申请日:2017-03-02

    Abstract: A method and apparatus are provided. The method includes receiving, by a user equipment (UE), a first signal from a transceiver, determining one of a probability and a soft mean with a soft variance associated with the detected data symbol, determining a first coefficient and a second coefficient based on the determined one of the probability and the soft mean with the soft variance associated with the detected data symbol, determining channel state information (CSI) on a channel between the transceiver and the UE based on a second signal received by the UE from the transceiver, a previous CSI, the first coefficient and the second coefficient, and tracking the communication channel based on the determined CSI.

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