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    Programmable spatial array for matrix decomposition
    5.
    发明授权
    Programmable spatial array for matrix decomposition 有权

    公开(公告)号：US12235793B2

    公开(公告)日：2025-02-25

    申请号：US18017077

    申请日：2020-09-25

    Applicant: Intel Corporation

    Inventor： Long Jiang ,  Xu Zhang ,  Hong Cheng

    IPC: G06F15/80 ,  G06F17/16

    Abstract: Programmable spatial array processing circuitry may be programmable to perform multiple different types of matrix decompositions. The programmable spatial array processing circuitry may include an array of processing elements. When programmed with a first instructions, the array performs a first type of matrix decomposition. When programmed with second instructions, the array performs a second type of matrix decomposition. Individual processing elements of the programmable spatial array processing circuitry may avoid having individual instruction memories. Instead, there may be an instruction memory that provides a portion of the first instructions or a portion of the second instructions sequentially to one processing element of a row of processing elements to sequentially propagate to other processing elements of the row of processing elements.

    Adaptive deep learning model for noisy image super-resolution
    6.
    发明授权
    Adaptive deep learning model for noisy image super-resolution 有权

    公开(公告)号：US12033302B2

    公开(公告)日：2024-07-09

    申请号：US17435653

    申请日：2019-06-21

    Applicant: Intel Corporation

    Inventor： Wenyi Tang ,  Xu Zhang

    IPC: G06T3/4046 ,  G06N3/047 ,  G06T3/4053

    CPC classification number: G06T3/4053 ,  G06N3/047 ,  G06T3/4046

    Abstract: Embodiments described herein are generally directed to an end-to-end trainable degradation restoration network (DRN) that enhances the ability of a super-resolution (SR) subnetwork to deal with noisy low-resolution images. An embodiment of a method includes estimating, by a noise estimator (NE) subnetwork of the DRN, an estimated noise map for a noisy input image; and predicting, by the SR subnetwork of the DRN, a clean upscaled image based on the input image and the noise map by, for each of multiple conditional residual dense blocks (CRDBs) stacked within one or more cascade blocks representing the SR subnetwork, adjusting, by a noise control layer of the CRDB that follows a stacked set of a multiple residual dense blocks of the CRDB, feature values of an intermediate feature map associated with the input image by applying (i) a scaling factor and (ii) an offset factor derived from the noise map.

    METHODS AND DEVICES FOR PROCESSING A DATA SIGNAL FOR TRANSMISSION TO MULTI-STREAM TERMINALS
    8.
    发明申请
    METHODS AND DEVICES FOR PROCESSING A DATA SIGNAL FOR TRANSMISSION TO MULTI-STREAM TERMINALS 审中-公开

    公开(公告)号：US20200091986A1

    公开(公告)日：2020-03-19

    申请号：US16494474

    申请日：2017-04-07

    Applicant: Intel Corporation

    Inventor： Min Huang ,  Feng Yang ,  Xu Zhang

    IPC: H04B7/06 ,  H04B7/0456 ,  H04B7/0452

    Abstract: The disclosure relates to a radio transceiver, comprising: a precoder configured to precode a data signal for transmission to a plurality of multi-stream terminals based on a plurality of precoding weight matrices; and a processor configured to generate for each terminal in an iterative manner a precoding weight matrix and a transformed channel matrix, wherein the transformed channel matrix indicates a channel gain between the radio transceiver and the respective terminal transformed by a receive filter matrix of the respective terminal, wherein the generation of the precoding weight matrix and the transformed channel matrix in a current iteration is based on the transformed channel matrix generated from a previous iteration.

    Method for determining a precoding matrix and precoding module
    9.
    发明授权
    Method for determining a precoding matrix and precoding module 有权

    公开(公告)号：US10511361B2

    公开(公告)日：2019-12-17

    申请号：US15571348

    申请日：2015-06-17

    Applicant: Intel Corporation

    Inventor： Wenting Chang ,  Guangjie Li ,  Yujun Chen ,  Xu Zhang

    IPC: H04B7/0456 ,  H04B7/0452 ,  H04B7/06

    Abstract: A method for determining a precoding matrix for a MIMO transmitter based on a weighted MMSE algorithm is disclosed. A precoding module identically transforms a first matrix expression into a second matrix expression. The first matrix expression comprises a matrix inversion operation of a quadratic matrix having a rank equal to a number of antennas of the MIMO transmitter. The second matrix expression comprises a matrix inversion operation of a quadratic matrix having a rank equal to a number of receivers scheduled for the MIMO transmitter.

    DYNAMIC RESOURCE SCALING AND VM MIGRATION IN NG-RAN
    10.
    发明申请
    DYNAMIC RESOURCE SCALING AND VM MIGRATION IN NG-RAN 审中-公开

    公开(公告)号：US20190254090A1

    公开(公告)日：2019-08-15

    申请号：US16393709

    申请日：2019-04-24

    Applicant: Intel Corporation

    Inventor： Feng Yang ,  Alexander Sirotkin ,  Jaemin Han ,  Xu Zhang

    IPC: H04W76/12 ,  H04W76/11 ,  H04W76/22 ,  H04W24/04

    CPC classification number: H04W76/12 ,  H04W24/04 ,  H04W76/11 ,  H04W76/22

    Abstract: Systems and methods of modifying the bearer context of a DRB of an E1 interface for a gNB are described. To modify the bearer context associated with a DRB for a particular UE, the gNB-CU-UP transmits a Bearer Context Modification Required message through the E1 interface and receives in response a Bearer Context Modification Confirm message that confirms the modification of the bearer context. The Bearer Context Modification Required message and Bearer Context Modification Confirm message both include the new GTP TEID and TNL address to be used after modification of the bearer context, a gNB-CU-CP UE E1AP ID that uniquely identifies a UE association over the E1 interface within the gNB-CU-CP, a gNB-CU-UP UE E1AP ID that uniquely identifies a UE association over the E1 interface within the gNB-CU-UP, and a DRB ID IE that uniquely identifies the DRB.

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