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公开(公告)号:US20220030560A1
公开(公告)日:2022-01-27
申请号:US17372180
申请日:2021-07-09
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seyed Mohsen HOSSEINIAN , Jung Hyun BAE , Jungwon LEE
Abstract: A hybrid automatic repeat request (HARQ) process method for nonterrestrial networks. In some embodiments, the method includes receiving, by a user equipment (UE), a first downlink control information (DCI), the first DCI including a first hybrid automatic repeat request (HARQ) process identifier (ID); calculating a first HARQ process number based on the first HARQ process ID and on a slot number associated with the first DCI; and processing a first data block via a HARQ process associated with the first HARQ process number.
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公开(公告)号:US20210099019A1
公开(公告)日:2021-04-01
申请号:US17033334
申请日:2020-09-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jinhoo LEE , Wonkyu SUNG , Jungwon LEE , Daehyeong PARK , Yonghwa HAN , Minwoo YOO , Hyoungwook YI , Jongchul CHOI , Changryong HEO
Abstract: An electronic device includes a first housing structure including a first surface and a second surface facing in a direction opposite to the first surface, and a second housing structure including a third surface and a fourth surface facing in a direction opposite to the third surface. The second housing structure is rotatable relative to the first housing structure. The electronic device also includes a display and a control circuit. The first housing is provided with a first wireless charger configured to perform a wireless charging function in relation to a first external electronic device, and the second housing is provided with a second wireless charger configured to perform a wireless charging function in relation to a second external electronic device. The second wireless charger is located to face the first wireless charger when the first housing structure and the second housing structure are folded to face each other.
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公开(公告)号:US20200304147A1
公开(公告)日:2020-09-24
申请号:US16576166
申请日:2019-09-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yoo Jin CHOI , Mostafa EL-KHAMY , Jungwon LEE
Abstract: A method and apparatus for variable rate compression with a conditional autoencoder is herein provided. According to one embodiment, a method includes training a conditional autoencoder using a Lagrange multiplier and training a neural network that includes the conditional autoencoder with mixed quantization bin sizes.
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公开(公告)号:US20200235969A1
公开(公告)日:2020-07-23
申请号:US16842019
申请日:2020-04-07
Applicant: Samsung Electronics Co., Ltd.
Inventor: Gennady FEYGIN , Pranav DAYAL , Jungwon LEE
Abstract: An apparatus includes a first mixer performing first mixing of an input signal with a digital carrier which rotates the input signal such that one end of a target bandwidth in the input signal is aligned with an edge of a first bandpass filter that performs a first filtering on the first mixed input signal; a second mixer performing a second mixing of the first filtered input signal with a digital carrier which rotates the first filtered input signal such that the opposite end of the target bandwidth is aligned with an edge of a passband of a second bandpass filter that performs a second filtering on the second mixed input signal; and a third mixer performing a third mixing on the second filtered input signal which rotates the second filtered input signal such that the target bandwidth returns to the target bandwidth prior to the first mixing.
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65.
公开(公告)号:US20200227070A1
公开(公告)日:2020-07-16
申请号:US16451969
申请日:2019-06-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jaeyoung KIM , Mostafa EL-KHAMY , Jungwon LEE
IPC: G10L25/60 , G10L15/06 , G10L21/0208
Abstract: A method and system for providing end-to-end multi-task denoising for joint signal distortion ratio (SDR) and perceptual evaluation of speech quality (PESQ) optimization is herein disclosed. According to one embodiment, an method includes receiving a noisy signal, generating a denoised output signal, determining a signal distortion ratio (SDR) loss function based on the denoised output signal, determining a perceptual evaluation of speech quality (PESQ) loss function based on the denoised output signal, and optimizing an overall loss function based on the PESQ loss function and the SDR loss function.
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66.
公开(公告)号:US20200012324A1
公开(公告)日:2020-01-09
申请号:US16503954
申请日:2019-07-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Wonkyu SUNG , Kangmoon KIM , Sojung KIM , Dahyun LEE , Jungwon LEE , Junho JIN
IPC: G06F1/16 , G06F3/0346 , G06T7/70 , G09F9/30
Abstract: An electronic device is provided. The electronic device includes a first housing including a first face and a second face, a second housing including a third face and a fourth face, a folding part rotatably connecting the first housing and the second housing, a flexible display disposed on the first face and the third face, a camera exposed through at least a portion of the fourth face, a memory configured to store instructions, and a processor configured to determine an orientation of the electronic device and a direction in which the camera is pointed while a camera application is executed, identify the first area or the second area as an area in which a preview image acquired through the camera is displayed based at least on the determined direction and the determined orientation, and display the preview image, acquired through the camera, in the identified area using the flexible display.
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公开(公告)号:US20180268284A1
公开(公告)日:2018-09-20
申请号:US15655557
申请日:2017-07-20
Applicant: Samsung Electronics Co., Ltd.
Inventor: Haoyu REN , Mostafa EL-KHAMY , Jungwon LEE
CPC classification number: G06N3/04 , G06N3/0454 , G06N3/08 , G06N3/082
Abstract: Apparatuses and methods of manufacturing same, systems, and methods for generating a convolutional neural network (CNN) are described. In one aspect, a minimal CNN having, e.g., three or more layers is trained. Cascade training may be performed on the trained CNN to insert one or more intermediate layers until a training error is less than a threshold. When cascade training is complete, cascade network trimming of the CNN output from the cascade training may be performed to improve computational efficiency. To further reduce network parameters, convolutional filters may be replaced with dilated convolutional filters with the same receptive field, followed by additional training/fine-tuning.
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公开(公告)号:US20180191462A1
公开(公告)日:2018-07-05
申请号:US15454596
申请日:2017-03-09
Applicant: Samsung Electronics Co. , Ltd.
Inventor: Hyukjoon KWON , Niranjan Nayak RATNAKAR , Jungwon LEE
CPC classification number: H04L1/0038 , H04L7/0278 , H04L27/2602 , H04L27/2666 , H04L27/2678 , H04W88/02
Abstract: Apparatuses and methods of manufacturing same, systems, and methods for blind detection of a numerology of a received signal are described. In one aspect, a method is provided for a user equipment (UE) to blindly detect the numerology of a received signal. The method includes correlating cyclic prefix (CP) signals in the received signal in the time domain based on a plurality of hypotheses of subcarrier spacing (SCS); measuring power variation of the received signal in the frequency domain based on the plurality of hypotheses of SCS; and combining weighted results of a correlation of the CP signals in the time domain and the measured power variation in the frequency domain to determine a numerology of the received signal for a corresponding hypothesis of SCS of the plurality of hypotheses.
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公开(公告)号:US20180123709A1
公开(公告)日:2018-05-03
申请号:US15421998
申请日:2017-02-01
Applicant: Samsung Electronics Co., Ltd.
Inventor: Binnan ZHUANG , Hongbing CHENG , Jungwon LEE
IPC: H04B17/336 , H04B17/318
CPC classification number: H04B17/336 , H04B17/318
Abstract: A method and apparatus are provided. The method includes receiving a signal sequence and a noise sequence, determining a first absolute value sum approximation of a receive power of the signal sequence, determining a second absolute value sum approximation of a noise power of the noise sequence, and determining a signal-to-noise ratio (SNR) based on the first absolute value sum approximation and the second absolute value sum approximation.
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公开(公告)号:US20180107926A1
公开(公告)日:2018-04-19
申请号:US15697035
申请日:2017-09-06
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yoo Jin CHOI , Mostafa El-Khamy , Jungwon LEE
CPC classification number: G06N3/08 , G06F7/582 , G06N3/0472 , G06N3/063
Abstract: Apparatuses and methods of manufacturing same, systems, and methods for performing network parameter quantization in deep neural networks are described. In one aspect, multi-dimensional vectors representing network parameters are constructed from a trained neural network model. The multi-dimensional vectors are quantized to obtain shared quantized vectors as cluster centers, which are fine-tuned. The fine-tuned and shared quantized vectors/cluster centers are then encoded. Decoding reverses the process.
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