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公开(公告)号：US20210357753A1
公开(公告)日：2021-11-18
申请号：US17317607
申请日：2021-05-11
Inventor： Jin Kyu KIM , Byung Jo KIM , Seong Min KIM , Ju-Yeob KIM , Ki Hyuk PARK , Mi Young LEE , Joo Hyun LEE , Young-deuk JEON , Min-Hyung CHO
Abstract: A method and apparatus for multi-level stepwise quantization for neural network are provided. The apparatus sets a reference level by selecting a value from among values of parameters of the neural network in a direction from a high value equal to or greater than a predetermined value to a lower value, and performs learning based on the reference level. The setting of a reference level and the performing of learning are iteratively performed until the result of the reference level learning satisfies a predetermined value and there is no variable parameter that is updated during learning among the parameters.
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Patent Agency Ranking
公开(公告)号：US20160131741A1
公开(公告)日：2016-05-12
申请号：US14745444
申请日：2015-06-21
Inventor： Ki Hyuk PARK
IPC: G01S7/35
CPC classification number: G01S7/032 , G01S13/345 , G01S13/42 , G01S2007/358
Abstract: An apparatus and method for forming a beam for processing a radar signal is provided. In order to form a beam, by processing signals that are received through a plurality of antennas, a first symbol signal and a second symbol signal, which are complex signals are generated. The first and second symbol signals include a plurality of symbols that are arranged in an antenna array order. By applying a weight value on each antenna basis and a window coefficient for windowing processing to sequentially input each symbol of the first and second symbol signals, and by accumulating on a beam basis to generate, a beam symbol signal is generated.
Abstract translation: 提供了一种用于形成用于处理雷达信号的波束的装置和方法。 为了形成光束，通过处理通过多个天线接收的信号，产生作为复数信号的第一符号信号和第二符号信号。 第一和第二符号信号包括以天线阵列顺序排列的多个符号。 通过在每个天线基础上应用权重值，以及窗口系数用于开窗处理以顺序地输入第一和第二符号信号的每个符号，并且通过以波束为基础积累以产生波束符号信号。
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公开(公告)号：US20210303982A1
公开(公告)日：2021-09-30
申请号：US17205433
申请日：2021-03-18
Inventor： Mi Young LEE , Young-deuk JEON , Byung Jo KIM , Ju-Yeob KIM , Jin Kyu KIM , Ki Hyuk PARK , JOO HYUN LEE , MIN-HYUNG CHO
Abstract: Disclosed is a neural network computing device. The neural network computing device includes a neural network accelerator including an analog MAC, a controller controlling the neural network accelerator in one of a first mode and a second mode, and a calibrator that calibrating a gain and a DC offset of the analog MAC. The calibrator includes a memory storing weight data, calibration weight data, and calibration input data, a gain and offset calculator reading the calibration weight data and the calibration input data from the memory, inputting the calibration weight data and the calibration input data to the analog MAC, receiving calibration output data from the analog MAC, and calculating the gain and the DC offset of the analog MAC, and an on-device quantizer reading the weight data, receiving the gain and the DC offset, generating quantized weight data, based on the gain and the DC offset.
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公开(公告)号：US20200226456A1
公开(公告)日：2020-07-16
申请号：US16742808
申请日：2020-01-14
Inventor： Young-deuk JEON , Byung Jo KIM , Ju-Yeob KIM , Jin Kyu KIM , Ki Hyuk PARK , Mi Young LEE , Joo Hyun LEE , Min-Hyung CHO
Abstract: The neuromorphic arithmetic device comprises an input monitoring circuit that outputs a monitoring result by monitoring that first bits of at least one first digit of a plurality of feature data and a plurality of weight data are all zeros, a partial sum data generator that skips an arithmetic operation that generates a first partial sum data corresponding to the first bits of a plurality of partial sum data in response to the monitoring result while performing the arithmetic operation of generating the plurality of partial sum data, based on the plurality of feature data and the plurality of weight data, and a shift adder that generates the first partial sum data with a zero value and result data, based on second partial sum data except for the first partial sum data among the plurality of partial sum data and the first partial sum data generated with the zero value.
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公开(公告)号：US20150226848A1
公开(公告)日：2015-08-13
申请号：US14608406
申请日：2015-01-29
Inventor： Ki Hyuk PARK
CPC classification number: G01S13/584 , G01S7/354 , G01S13/345 , G01S13/931 , G01S2007/358
Abstract: Provided is a method and apparatus for detecting a target using radar, the apparatus including a transmitter to generate a frequency modulated continuous waveform (FMCW) of a baseband, convert the FMCW into a signal of a predetermined frequency band, and emit the signal to a target through radar, a receiver to receive the signal reflected from the target through each antenna of a multi-array antenna, and estimate information on the target based on the signal received through each antenna, and a processor to control operations of the transmitter and the receiver.
Abstract translation: 提供了一种用于使用雷达来检测目标的方法和装置，该装置包括发射机以产生基带的调频连续波形（FMCW），将FMCW转换成预定频带的信号，并将信号发射到 目标通过雷达，接收器，通过多阵列天线的每个天线接收从目标反射的信号，并且基于通过每个天线接收的信号估计关于目标的信息，以及处理器，用于控制发射机和 接收器。
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公开(公告)号：US20200174751A1
公开(公告)日：2020-06-04
申请号：US16695509
申请日：2019-11-26
Inventor： Min-Hyung CHO , Young-deuk JEON , Ki Hyuk PARK , Joo Hyun LEE
Abstract: The neuromorphic arithmetic device performs a multiply-accumulate (MAC) calculation using a multiplier and an accumulator. The neuromorphic arithmetic device includes an offset accumulator configured to receive a plurality of offset data measured a plurality of times and accumulate the plurality of offset data, a bit extractor configured to obtain average offset data by extracting at least one first bit from the plurality of accumulated offset data, and a cumulative synapse array configured to accumulate a plurality of multiplication values generated by the multiplier and output a cumulative result of the plurality of multiplication values corrected according to the average offset data.
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