WIRELESS COMMUNICATION APPARATUS AND COEFFICIENT UPDATING METHOD

    公开(公告)号:US20210288682A1

    公开(公告)日:2021-09-16

    申请号:US17197295

    申请日:2021-03-10

    摘要: A wireless communication apparatus includes: a processor that performs distortion compensation on a complex number transmission signal by using a distortion compensation coefficient; a power amplifier that amplifies the transmission signal subjected to distortion compensation by the processor; and a feedback path that feeds back a signal output from the power amplifier to supply a real number feedback signal to the processor. The processor executes a process including: estimating a complex number feedback signal by performing linear computation on the complex number transmission signal and the real number feedback signal; and updating the distortion compensation coefficient by using the estimated complex number feedback signal.

    OPTICAL TRANSMIT DEVICE
    2.
    发明公开

    公开(公告)号:US20240113786A1

    公开(公告)日:2024-04-04

    申请号:US18459481

    申请日:2023-09-01

    IPC分类号: H04B10/2575

    CPC分类号: H04B10/25759

    摘要: An optical transmit device includes a conversion device configured to convert an electrical data signal into an optical signal, a control unit configured to change an adjustment value for peaking based on a baud rate of the optical signal, and a driver configured to change a band characteristic of the conversion device based on the adjustment value changed by the control unit.

    DATA STORAGE DEVICE AND CONTROL METHOD THEREFOR
    3.
    发明申请
    DATA STORAGE DEVICE AND CONTROL METHOD THEREFOR 失效
    数据存储设备及其控制方法

    公开(公告)号:US20020004884A1

    公开(公告)日:2002-01-10

    申请号:US09112082

    申请日:1998-07-08

    IPC分类号: G06F012/00

    摘要: It is provided a data storage device which reads data from and/or writes data to a memory medium, comprising: an acquisition unit for acquiring management information which is recorded by a predetermined form in said memory; and a controller for converting the management information into an another form. The controller rearranges the management information to convert the management information into another form, and also the controller restores the converted management information to the predetermined form according to a relationship between a first identifier recorded on the memory medium and a second identifier recorded in the data storage device. When, for example, the two identifiers match, the acquisition unit can acquire the management information, and the reading and writing of data is enabled. When the two identifiers do not match, restoration of the management information to a predetermined form is not effected, so that the acquisition unit can not acquire the management information and the reading and writing of data is disabled.

    摘要翻译: 提供了一种从存储介质读取数据和/或将数据写入存储介质的数据存储装置,包括:获取单元,用于获取以预定形式记录在所述存储器中的管理信息; 以及用于将管理信息转换成另一形式的控制器。 控制器重新排列管理信息以将管理信息转换为另一种形式,并且控制器还根据记录在存储介质上的第一标识符与记录在数据存储器中的第二标识符之间的关系将所转换的管理信息恢复为预定格式 设备。 当例如两个标识符匹配时,获取单元可以获取管理信息,并且能够读取和写入数据。 当两个标识符不匹配时,管理信息恢复到预定的形式不被实现,使得获取单元不能获得管理信息,并且数据的读取和写入被禁止。

    METHOD AND APPARATUS FOR TRANSCEIVING INFORMATION, AND COMMUNICATION SYSTEM

    公开(公告)号:US20240357691A1

    公开(公告)日:2024-10-24

    申请号:US18762740

    申请日:2024-07-03

    申请人: FUJITSU LIMITED

    IPC分类号: H04W76/20 H04W24/10 H04W92/18

    CPC分类号: H04W76/20 H04W24/10 H04W92/18

    摘要: An apparatus for transceiving information, applicable to a second terminal equipment, includes: a receiver configured to: receive a radio resource control reconfiguration complete message form a first terminal equipment when the second terminal equipment is in a radio resource control idle mode or a radio resource control inactive mode, and cause the second terminal equipment to enter a radio resource control connected mode; and receive a radio resource control reconfiguration message from a network device; and processor circuitry configured to perform relay-related configuration of a PC5 interface and a Uu interface according to the radio resource control reconfiguration message.

    Method and apparatus for generating equivalent nonlinear noise

    公开(公告)号:US12126395B2

    公开(公告)日:2024-10-22

    申请号:US17894711

    申请日:2022-08-24

    申请人: FUJITSU LIMITED

    发明人: Ke Zhang Zhenning Tao

    IPC分类号: H04B17/345 H04L1/20

    CPC分类号: H04B17/345 H04L1/203

    摘要: The present disclosure provides a method and apparatus for generating equivalent nonlinear noise. The method includes randomly generating white noise obeying zero-mean Chi-square distribution; and filtering the input white noise by using an equivalent nonlinear noise spectrum as an equivalent nonlinear filter to obtain the equivalent nonlinear noise. According to the embodiments of the present application, equivalent nonlinear noise may be generated based on zero-mean Chi-square distribution random variables combined with equivalent nonlinear noise spectrum filtering, and more accurate equivalent nonlinear noise than the related art may be generated, thus accurately evaluating an influence of nonlinearity of devices on Bit Error Rate (BER).

    TRAINING MACHINE LEARNING SYSTEMS USING CUSTOM FEATURE ENGINEERING

    公开(公告)号:US20240346244A1

    公开(公告)日:2024-10-17

    申请号:US18299651

    申请日:2023-04-12

    申请人: Fujitsu Limited

    发明人: Lei LIU Wei-Peng CHEN

    IPC分类号: G06F40/20 G06F40/30

    CPC分类号: G06F40/20 G06F40/30

    摘要: A system may include one or more processors configured to perform one or more operations including obtaining a dataset. The operations may additionally include training a language model to determine relationships between data in data subsets in the obtained dataset. Further operations may include extracting a value and a title from data subsets in the dataset, and determining a question based on the titles, the values, and a target variable. The operations may additionally include sending the question to the language model to obtain a vector. Further, the operations may include determining based on the vector, an operation that may be performed using the data. The operations may additionally include synthesizing data related to the target variable. In some embodiments, the operations may additionally include adding the synthesized data to one or more data subsets in the dataset and modifying a machine learning pipeline using thedataset.