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    • 84. 发明申请
    • ULTRAVIOLET LIGHT SENSING CIRCUIT AND SENSING SYSTEM
    • ULTRAVIOLET光感测电路和感应系统
    • US20170074722A1
    • 2017-03-16
    • US15123239
    • 2014-11-14
    • PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    • Shengdong ZHANGCongwei LIAOZhijin HUWenjie LIJunmei LI
    • G01J1/44G01J1/42
    • G01J1/44G01J1/429
    • An ultraviolet light sensing circuit and sensing system. The ultraviolet light sensing circuit comprises a modulation unit and a phase delay unit, wherein the modulation unit comprises a first stage of inverter which is used for sensing ultraviolet light and is used as a voltage feedback modulation stage; and the phase delay unit comprises N stages of inverters which are connected in sequence, where N is an even number which is greater than or equal to 2. The modulation unit is connected to the phase delay unit in sequence, and the output voltage of the phase delay unit is fed to the modulation unit; and the modulation unit is modulated by a control signal which is a pulse signal. The ultraviolet light sensing circuit and sensing system can be used for ultraviolet light information communications. The ultraviolet light sensing circuit can sense ultraviolet light signals and output amplitude modulation wave signals.
    • 紫外线感测电路和感测系统。 紫外光检测电路包括调制单元和相位延迟单元,其中调制单元包括用于感测紫外光的第一级反相器,并用作电压反馈调制级; 并且相位延迟单元包括顺序连接的N级反相器,其中N是大于或等于2的偶数。调制单元依次连接到相位延迟单元,并且输出电压 相位延迟单元馈送到调制单元; 调制单元由作为脉冲信号的控制信号进行调制。 紫外线感测电路和感测系统可用于紫外线信息通信。 紫外线感测电路可以感测紫外光信号并输出​​幅度调制波信号。
    • 85. 发明授权
    • Method for motion vector estimation
    • 运动矢量估计方法
    • US09584824B2
    • 2017-02-28
    • US14401145
    • 2013-06-25
    • PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    • Ronggang WangChengzhou TangWen Gao
    • H04N7/12H04N11/02H04N11/04H04N19/513H04N19/56H04N19/54
    • H04N19/513H04N19/54H04N19/56
    • A motion vector estimation method in video encoding: First, a feature point is detected in a video frame. Next, motion estimation is performed on the feature point to obtain a motion vector of the feature point. Next, the feature point is mapped to a feature image block, and the motion vector of the feature point is used as an initial motion vector of the feature image block. Finally, a distance between each image block and the feature image block is calculated, motion estimation is performed on the image blocks in an ascending order of the distances between the image blocks and the feature image block, and an obtained motion vector of an image block is used as an initial motion vector of an image block that is adjacent to the image block and has not undergone motion estimation, until motion estimation is completed for the image blocks in the entire video frame. The method can make an improvement to a conventional motion estimation method, mitigate influence of local optimization on a search method, and increase the accuracy of a motion vector obtained through motion estimation.
    • 视频编码中的运动矢量估计方法:首先,在视频帧中检测特征点。 接下来,对特征点进行运动估计,以获得特征点的运动矢量。 接下来,将特征点映射到特征图像块,并且将特征点的运动矢量用作特征图像块的初始运动矢量。 最后,计算每个图像块和特征图像块之间的距离,以图像块和特征图像块之间的距离的升序对图像块执行运动估计,并且获得图像块的运动矢量 被用作与图像块相邻并且没有进行运动估计的图像块的初始运动矢量,直到完整的视频帧中的图像块的运动估计为止。 该方法可以改进传统的运动估计方法,减轻局部优化对搜索方法的影响,并提高通过运动估计获得的运动矢量的精度。
    • 87. 发明申请
    • METHOD FOR ENCODING MSR (MINIMUM-STORAGE REGENERATING) CODES AND REPAIRING STORAGE NODES
    • 编码MSR(最小存储重新存储)代码和修复存储编号的方法
    • US20150358037A1
    • 2015-12-10
    • US13978315
    • 2013-02-26
    • Hui LIPEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    • Hui LIHanxu HOUBing ZHU
    • H03M13/00G06F11/10
    • H03M13/617G06F11/1076G06F11/1088H03M13/373
    • The invention relates to a method for encoding MSR (Minimum-storage Regenerating) codes, which comprises the following steps of: acquiring n first data packets which are represented by Si, i=1, 2, . . . , n; setting n storage nodes and a positive integer k, wherein n=2K; respectively adding a specified number of 0 bits on data heads or data tails of subsequent successive k first data packets by taking the next first data packet of the ith first data packet as a starting point, acquiring k second data packets, and acquiring an encoded data packet by computing the k second data packets; repeating the above steps and acquiring n encoded data packets which are represented by Pi, i=1, 2, . . . , n; and storing the ith first data packet and the encoded data packet acquired by taking the next first data packet of the first data packet as the starting point into the ith storage node.
    • 本发明涉及一种用于编码MSR(最小存储再生)代码的方法,包括以下步骤:获取由Si表示的n个第一数据分组,i = 1,2。 。 。 ,n 设置n个存储节点和一个正整数k,其中n = 2K; 通过将第i个第一数据分组的下一个第一数据分组作为起始点,分别在后续连续k个第一数据分组的数据头或数据尾上添加指定数量的0比特,获取k个第二数据分组,并获取编码数据 通过计算k个第二数据分组; 重复上述步骤并获取由Pi表示的n个编码数据分组,i = 1,2。 。 。 ,n 并且将第一数据分组的下一个第一数据分组作为起始点获取的第一第一数据分组和编码数据分组存储到第i个存储节点中。
    • 89. 发明申请
    • METHOD FOR MOTION VECTOR ESTIMATION
    • 运动矢量估计方法
    • US20150131728A1
    • 2015-05-14
    • US14401145
    • 2013-06-25
    • PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    • Ronggang WangChengzhou TangWen Gao
    • H04N19/513
    • H04N19/513H04N19/54H04N19/56
    • A motion vector estimation method in video encoding: First, a feature point is detected in a video frame. Next, motion estimation is performed on the feature point to obtain a motion vector of the feature point. Next, the feature point is mapped to a feature image block, and the motion vector of the feature point is used as an initial motion vector of the feature image block. Finally, a distance between each image block and the feature image block is calculated, motion estimation is performed on the image blocks in an ascending order of the distances between the image blocks and the feature image block, and an obtained motion vector of an image block is used as an initial motion vector of an image block that is adjacent to the image block and has not undergone motion estimation, until motion estimation is completed for the image blocks in the entire video frame. The method can make an improvement to a conventional motion estimation method, mitigate influence of local optimization on a search method, and increase the accuracy of a motion vector obtained through motion estimation.
    • 视频编码中的运动矢量估计方法:首先,在视频帧中检测特征点。 接下来,对特征点进行运动估计,以获得特征点的运动矢量。 接下来,将特征点映射到特征图像块,并且将特征点的运动矢量用作特征图像块的初始运动矢量。 最后,计算每个图像块和特征图像块之间的距离,以图像块和特征图像块之间的距离的升序对图像块执行运动估计,并且获得图像块的运动矢量 被用作与图像块相邻并且没有进行运动估计的图像块的初始运动矢量,直到完整的视频帧中的图像块的运动估计为止。 该方法可以改进传统的运动估计方法,减轻局部优化对搜索方法的影响,并提高通过运动估计获得的运动矢量的精度。