COMPRESSION OF POWER DELAY PROFILE

    公开(公告)号:US20230134840A1

    公开(公告)日:2023-05-04

    申请号:US17842694

    申请日:2022-06-16

    Abstract: A system and method for storing a power delay profile in compressed form. In some embodiments, the method includes: identifying, in a power delay profile including a first group of taps, a first arrival tap corresponding to a first arrival path; identifying a first subset of taps, the first subset being a subset of the first group and including the first arrival tap; identifying a second subset of taps, the second subset being a subset of the first group and being disjoint from the first subset; and storing, in a memory, the union of the first subset and a proper subset of the second subset.

    METHOD AND APPARATUS FOR NORMALIZATION OF SOFTBITS BASED ON CHANNEL CHARACTERISTICS

    公开(公告)号:US20230308148A1

    公开(公告)日:2023-09-28

    申请号:US17840581

    申请日:2022-06-14

    Abstract: A system and a method are disclosed for normalizing Log-Likelihood Ratios for bits of a transport block. For a narrowband channel estimation (NBCE), a normalization factor is selected based on an estimated delay spread, a cyclic prefix, an estimated Doppler spread, a rank, a modulation and coding scheme (MCS) and a signal-to-noise ratio (SNR) for the transport block, and an input LLRin for the individual bits of the transport block are scaled to respectively form an output LLRout for the individual bits of the transport block using the normalization factor. For a wideband channel estimation, a normalization factor is selected based on the rank/MCS/SNR of the transport block, and the input LLRin for the individual bits of the transport block are scaled to respectively form the output LLRout for the individual bits of the transport block using the normalization factor.

    MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) DETECTOR SELECTION USING NEURAL NETWORK

    公开(公告)号:US20200293896A1

    公开(公告)日:2020-09-17

    申请号:US16738455

    申请日:2020-01-09

    Abstract: A method and system for training a neural network are herein provided. According to one embodiment, a method includes generating a first labelled dataset corresponding to a first modulation scheme and a second labelled dataset corresponding to a second modulation scheme, determining a first gradient of a cost function between a first neural network layer and a second neural network layer based on back-propagation using the first labelled dataset and the second labelled dataset, and determining a second gradient of the cost function between the second neural network layer and a first set of nodes of a third neural network layer based on back- propagation using the first labelled dataset. The first set of nodes of the third neural network layer correspond to a first plurality of detector classes associated with the first modulation scheme.

    NESTED LOOKUP TABLE FOR SYMBOL DETECTION WITH INITIAL CANDIDATE REDUCTION

    公开(公告)号:US20200119835A1

    公开(公告)日:2020-04-16

    申请号:US16231329

    申请日:2018-12-21

    Abstract: A system and method for receiving a quadrature amplitude modulation symbol. In some embodiments, the symbol has a plurality of bits and is associated with a point in a constellation of quadrature amplitude modulation points, each point of the constellation having associated with it a binary word. The method includes receiving a first analog signal carrying a modulation; performing initial estimation, to generate a first initial modulation estimate, for a portion of the first analog signal carrying a modulation; identifying, based on the first initial modulation estimate, a row of an initial candidate lookup table, the row corresponding to a region of the constellation; and reading from the row of the initial candidate lookup table a first plurality of initial candidate points of the constellation.

    ELECTRONIC DEVICE HAVING TOUCHSCREEN AND INPUT PROCESSING METHOD THEREOF

    公开(公告)号:US20180018067A1

    公开(公告)日:2018-01-18

    申请号:US15714684

    申请日:2017-09-25

    Abstract: A method is provided for operating an electronic device. The method includes displaying GUI items; receiving a first touch input in respect to a first GUI; receiving a second touch input in respect to a second GUI; storing first information about a first external input object and a first drawing attribute, corresponding to the first GUI, associated with the first external input object in response to the first touch input; storing second information about a second external input object associated with a second drawing attribute, corresponding to the second GUI, in response to the second touch input; receiving a third touch input; determining whether the third touch input is input using the first external input object or the second external input object; identifying a drawing attribute for the third touch input from the stored information, based on the determination; and applying the identified drawing attribute to the third touch input.

    ELECTRONIC DEVICE HAVING TOUCHSCREEN AND INPUT PROCESSING METHOD THEREOF
    9.
    发明申请
    ELECTRONIC DEVICE HAVING TOUCHSCREEN AND INPUT PROCESSING METHOD THEREOF 有权
    具有触摸屏的电子设备及其输入处理方法

    公开(公告)号:US20150135129A1

    公开(公告)日:2015-05-14

    申请号:US14540447

    申请日:2014-11-13

    Abstract: A method and an apparatus are provided for performing a function corresponding to a recognized user input through a touch screen. The method includes displaying a window of an application; displaying a setting menu of the application; receiving a selection for at least one item in the setting menu; recognizing an input object that performed the selection; registering the input object as an object for executing a function corresponding to the at least one item selected by the input object; detecting an input by the input object in the application window; and executing the function in response to the input by the input object.

    Abstract translation: 提供一种方法和装置,用于执行与通过触摸屏识别的用户输入相对应的功能。 该方法包括显示应用程序的窗口; 显示应用程序的设置菜单; 在设置菜单中接收至少一个项目的选择; 识别执行选择的输入对象; 将输入对象注册为用于执行与由输入对象选择的至少一个项目相对应的功能的对象; 在应用窗口中检测输入对象的输入; 以及响应于输入对象的输入执行该功能。

    HARDWARE ALLOCATION IN RFIC BASED ON MACHINE LEARNING

    公开(公告)号:US20230297803A1

    公开(公告)日:2023-09-21

    申请号:US17834845

    申请日:2022-06-07

    CPC classification number: G06K19/0723 G06N3/08

    Abstract: A system and method for configuring an RF network based on machine learning. In some embodiments, the method includes: receiving, by a first neural network, a first state and a first state transition, the first state including: one or more identifiers for available active ports, and a set of available connections between two or more circuit elements, each of the circuit elements being one of: (1) a first circuit type, (2) a second circuit type that operatively connects a circuit element of the first circuit type to one of the available active ports, and (3) the available active ports; and generating, by the first neural network, a first estimated quality value, for the first state transition.

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