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    COMMUNICATION SYSTEM WITH SIGNAL-TO-NOISE RATIO ADJUSTMENT MECHANISM AND METHOD OF OPERATION THEREOF
    121.
    发明申请
    COMMUNICATION SYSTEM WITH SIGNAL-TO-NOISE RATIO ADJUSTMENT MECHANISM AND METHOD OF OPERATION THEREOF 有权
    具有信号噪声调节机制的通信系统及其操作方法

    公开(公告)号：US20130235957A1

    公开(公告)日：2013-09-12

    申请号：US13788603

    申请日：2013-03-07

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Mostafa El Khamy ,  Jinhong Wu ,  Heejin Roh ,  Jungwon Lee ,  Inyup Kang

    IPC: H04L1/00

    CPC classification number: H04L1/0036 ,  H04L1/0051 ,  H04L1/0054

    Abstract: A communication system includes: a module configured to decode a remainder portion of a receiver message using a mechanism with a compensation channel value calculated from decoding an evaluation portion of the receiver message with a different mechanism, or using a mechanism-controller generated using a mismatch characterization based on determining a partial-sensitive output and a partial-insensitive output, or a combination thereof for communicating with a device.

    Abstract translation: 通信系统包括：模块，被配置为使用具有用不同机制对接收机消息的评估部分进行解码而计算的补偿信道值的机制来解码接收器消息的余数部分，或者使用使用不匹配的机制控制器 基于确定部分敏感输出和部分不敏感输出或其组合来与设备进行通信的表征。

    Method and apparatus for data-free post-training network quantization and generating synthetic data based on a pre-trained machine learning model
    122.
    发明授权
    Method and apparatus for data-free post-training network quantization and generating synthetic data based on a pre-trained machine learning model 有权

    公开(公告)号：US12154030B2

    公开(公告)日：2024-11-26

    申请号：US17096734

    申请日：2020-11-12

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yoo Jin Choi ,  Mostafa El-Khamy ,  Jungwon Lee

    IPC: G06N3/08 ,  G06F17/18 ,  G06F18/2113 ,  G06F18/214 ,  G06F18/22 ,  G06N3/045 ,  G06N7/01

    Abstract: A method for training a generator, by a generator training system including a processor and memory, includes: extracting training statistical characteristics from a batch normalization layer of a pre-trained model, the training statistical characteristics including a training mean μ and a training variance σ2; initializing a generator configured with generator parameters; generating a batch of synthetic data using the generator; supplying the batch of synthetic data to the pre-trained model; measuring statistical characteristics of activations at the batch normalization layer and at the output of the pre-trained model in response to the batch of synthetic data, the statistical characteristics including a measured mean {circumflex over (μ)}ψ and a measured variance {circumflex over (σ)}ψ2; computing a training loss in accordance with a loss function Lψ based on μ, σ2, {circumflex over (μ)}ψ, and {circumflex over (σ)}ψ2; and iteratively updating the generator parameters in accordance with the training loss until a training completion condition is met to compute the generator.

    Method and apparatus based on scene dependent lens shading correction
    123.
    发明授权
    Method and apparatus based on scene dependent lens shading correction 有权

    公开(公告)号：US12079972B2

    公开(公告)日：2024-09-03

    申请号：US17572223

    申请日：2022-01-10

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seongjun Park ,  Shuangquan Wang ,  Dongwoon Bai ,  Jungwon Lee

    IPC: G06K9/40 ,  G06T5/40 ,  G06T5/80 ,  H04N23/88

    CPC classification number: G06T5/80 ,  G06T5/40 ,  H04N23/88

    Abstract: A method of performing scene-dependent lens shading correction (SD-LSC) is provided. The method includes collecting scene information from a Bayer thumbnail of an input image; generating a standard red green blue (sRGB) thumbnail by processing the Bayer thumbnail of the input image to simulate white balance (WB) and pre-gamma blocks; determining a representative color channel ratio of the input image based on the scene information and the sRGB thumbnail; determining an ideal grid gain of the input image based on the representative color channel ratio and a grid gain of the input image; merging the ideal grid gain and the grid gain of the input image to generate a new grid gain; and applying the new grid gain to the input image.

    System and method for acoustic echo cancelation using deep multitask recurrent neural networks
    124.
    发明授权
    System and method for acoustic echo cancelation using deep multitask recurrent neural networks 有权

    公开(公告)号：US12033652B2

    公开(公告)日：2024-07-09

    申请号：US17827424

    申请日：2022-05-27

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Amin Fazeli ,  Mostafa El-Khamy ,  Jungwon Lee

    IPC: G10L21/0232 ,  G06N3/08 ,  G06N20/10 ,  G10L21/0208 ,  H04R3/04

    CPC classification number: G10L21/0232 ,  G06N3/08 ,  G06N20/10 ,  H04R3/04 ,  G10L2021/02082

    Abstract: A system for performing echo cancellation includes: a processor configured to: receive a far-end signal; record a microphone signal including: a near-end signal; and an echo signal corresponding to the far-end signal; extract far-end features from the far-end signal; extract microphone features from the microphone signal; compute estimated near-end features by supplying the microphone features and the far-end features to an acoustic echo cancellation module including a recurrent neural network including: an encoder including a plurality of gated recurrent units; and a decoder including a plurality of gated recurrent units; compute an estimated near-end signal from the estimated near-end features; and transmit the estimated near-end signal to the far-end device. The recurrent neural network may include a contextual attention module; and the recurrent neural network may take, as input, a plurality of error features computed based on the far-end features, the microphone features, and acoustic path parameters.

    Electronic device
    125.
    外观设计
    Electronic device 有权

    公开(公告)号：USD1027938S1

    公开(公告)日：2024-05-21

    申请号：US29781766

    申请日：2021-04-30

    Applicant: Samsung Electronics Co., Ltd.

    Designer： Jaewoong Chung ,  Duyeong Choi ,  Seonkeun Park ,  Ethan Lee ,  Jungwon Lee ,  Seungjoon Lee

    Abstract: FIG. 1 is a front perspective view of an electronic device showing our new design;
    FIG. 2 is a front elevation view thereof;
    FIG. 3 is a rear elevation view thereof;
    FIG. 4 is a left side elevation view thereof;
    FIG. 5 is a right side elevation view thereof;
    FIG. 6 is a top plan view thereof;
    FIG. 7 is a bottom plan view thereof; and,
    FIG. 8 is a rear perspective view thereof.
    The dashed broken lines in the figures illustrate portions of the electronic device that form no part of the claimed design.
    The dot-dash broken lines in FIGS. 1, 2, and 5-8 define the boundaries of the claimed design and form no part thereof.

    Electronic device for processing image and image processing method thereof
    128.
    发明授权
    Electronic device for processing image and image processing method thereof 有权

    公开(公告)号：US11922607B2

    公开(公告)日：2024-03-05

    申请号：US17384789

    申请日：2021-07-25

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Sanguk Park ,  Bongsoo Jung ,  Changho Kim ,  Jungwon Lee ,  Donghyun Yeom

    IPC: G06T5/00

    CPC classification number: G06T5/007 ,  G06T2207/20208

    Abstract: Disclosed is an electronic device including a memory and a processor electrically connected with the memory. The memory stores instructions that, when executed, cause the processor to control the electronic device to: obtain information about a maximum value of brightness of image content based on metadata of the image content, to perform tone mapping on at least one or more frames corresponding to a preview image of the image content based on the information about the maximum value of the brightness, and to output the preview image based on the at least one or more frames on which the tone mapping is performed, on a display device.

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