计算机大会季向阳,季向阳

Wen Ji, Xiangyang Ji, and Yiqiang Chen. “Feedback-Free Binning Design for Mobile Wyner-Ziv Video Coding: An Operational Duality between Source Distortion and Channel Capacity.” IEEE Transactions on Mobile Computing, 2017, Vol. 16, no. 6: 1615-1629.

Zhenyu Liu, Xianyu Yu, Yuan Gao, Shaolin Chen, Xiangyang Ji, and Dongsheng Wang. “CU partition mode decision for HEVC hardwired intra encoder using convolution neural network.” IEEE Transactions on Image Processing, 2016, Vol. 25, no. 11: 5088-5103.

Yongbing Zhang, Long Xu, Xiangyang Ji, Qionghai Dai, “A Polynomial Approximation Motion Estimation Model for Motion-Compensated Frame Interpolation,” IEEE Transactions on Circuits and System for Video Technology, 2016, Vol. 26, No. 8, pp. 1421-1432.

Qi Guo, Bo-Wei Chen, Seungmin Rho, Wen Ji, Feng Jiang, Xiangyang Ji, and Sun-Yuan Kung. “Efficient divide-and-conquer classification based on parallel feature-space decomposition for distributed systems.” IEEE Systems Journal, 2018, Vol. 12, no. 2: 1492-1498.

Xiangyang Ji, Sam Kwong, Bo-Wei Chen, Seungmin Rho, “High-efficient video compression for social multimedia distribution,” The Journal of Supercomputing, 2015, vol. 71, no. 6, pp. 2138-2152.

Yue Deng, Yipeng Li, Yanjun Qian, Xiangyang Ji, and Qionghai Dai, “Visual Words Assignment via Information-Theoretic Manifold Embedding,” IEEE Transactions on Cybernics, 2014, vol. 44, no. 10, pp. 1924-1937.

Xiangyang Ji, Qifei Wang, Bo-Wei Chen, Seungmin Rho, C. C. Jay Kuo, Qionghai Dai, “Online distribution and interaction of video data in social multimedia network,” Multimedia Tools and Applications, 2014, pp. 1-14.

Jingyu Lin, Xing Lin, Xiangyang Ji, Qionghai Dai, “Separable Coded Aperture for Depth from a Single Image,” IEEE Signal Processing Letters, Dec. 2014, vol.21, no.12, pp. 1471-1475.

Jingyu Lin, Xiangyang Ji, Wenli Xu, Qionghai Dai, “Absolute Depth Estimation from a Single Defocused Image,” IEEE Transactions on Image Processing, Nov. 2013, vol.22, no.11, pp. 4545 - 4550.

Genzhi Ye, Yebin Liu, Yue Deng, Nils Hasler, Xiangyang Ji, Qionghai Dai, Christian Theobalt, “Free-Viewpoint Video of Human Actors Using Multiple Handheld Kinects,” IEEE Transactions on Image Cybernics, Oct. 2013, vol.43, no.5, pp. 1370 - 1382.

标题“51单片机通过MPU6050-DMP获取姿态角例程”解析 “51单片机通过MPU6050-DMP获取姿态角例程”是一个基于51系列单片机(一种常见的8位微控制器)的程序示例,用于读取MPU6050传感器的数据,并通过其内置的数字运动处理器(DMP)计算设备的姿态角(如倾斜角度、旋转角度等)。MPU6050是一款集成三轴加速度计和三轴陀螺仪的六自由度传感器,广泛应用于运动控制和姿态检测领域。该例程利用MPU6050的DMP功能,由DMP处理复杂的运动学算法,例如姿态融合,将加速度计和陀螺仪的数据进行整合,从而提供稳定且实时的姿态估计,减轻主控MCU的计算负担。最终,姿态角数据通过LCD1602显示屏以字符形式可视化展示,为用户提供直观的反馈。 从标签“51单片机 6050”可知,该项目主要涉及51单片机和MPU6050传感器这两个关键硬件组件。51单片机基于8051内核,因编程简单、成本低而被广泛应用;MPU6050作为惯性测量单元(IMU),可测量设备的线性和角速度。文件名“51-DMP-NET”可能表示这是一个与51单片机及DMP相关的网络资源或代码库,其中可能包含C语言等适合51单片机的编程语言的源代码、配置文件、用户手册、示例程序,以及可能的调试工具或IDE项目文件。 实现该项目需以下步骤:首先是硬件连接,将51单片机与MPU6050通过I2C接口正确连接,同时将LCD1602连接到51单片机的串行数据线和控制线上;接着是初始化设置,配置51单片机的I/O端口,初始化I2C通信协议,设置MPU6050的工作模式和数据输出速率;然后是DMP配置,启用MPU6050的DMP功能,加载预编译的DMP固件,并设置DMP输出数据的中断;之后是数据读取,通过中断服务程序从DMP接收姿态角数据,数据通常以四元数或欧拉角形式呈现;再接着是数据显示,将姿态角数据转换为可读的度数格
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