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	Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13 作者: Wang, Peisong; He, Xiangyu; Cheng, Jian \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2022/07/25 Quantization (signal) Deep learning Convolution Training Biological neural networks Optimization Neurons Acceleration binarized neural networks (BNNs) compression fixed-point quantization
	LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks 期刊论文 OAI收割 IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 29-32 作者: Xiao, Hang; Xu, Haobo; Wang, Ying; Wang, Yujie; Han, Yinhe \| 收藏 \| 浏览/下载：57/0 \| 提交时间：2022/12/07 Linear particle accelerator Correlation Kernel Convolution Linear regression System-on-chip Quantization (signal) Neural network acceleration convolution linear regression bit-sparsity
	A Machine Learning Approach to Detecting of Freezing of Gait in Parkinson's Disease Patients 期刊论文 OAI收割 JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2018, 卷号: 8, 期号: 4, 页码: 647-654 作者: Xia, Yi; Yao, ZhiMing; Lu, Yixiang; Zhang, Dexiang; Cheng, Nan \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/08/26 Freezing of Gait (FOG) Parkinson's Disease (PD) Gait Classification Feature Selection Acceleration Signal
	AccPen: Using smartphone with accelerometer to interact as pen 会议论文 OAI收割 6th International Symposium of Chinese CHI, ChineseCHI 2018, Montreal, QC, Canada, April 21-22, 2018 作者: Liu J(刘杰); Chen YJ(陈玉洁); Guan PY(管培育); Fan JJ(范俊君); Su R(苏润) \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2018/07/30 Pen interaction acceleration signal segmentation trajectory reconstruction gesture recognition
	AccPen: Using smartphone with accelerometer to interact as pen 会议论文 OAI收割 Montreal, QC, Canada, April 21-22, 2018 作者: Guan PY(管培育); Tian F(田丰); Liu J(刘杰); Chen YJ(陈玉洁); Sun YS(孙苑淞) \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/07/30 Pen Interaction Acceleration Signal Segmentation Trajectory Reconstruction Gesture Recognition
	The research on adaptive measurement of angular acceleration for photoelectric servo turntable (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China 作者: Guo J.; Chen J.; Guo J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 The paper proposes a new measurement method of angular acceleration for photoelectric servo turntable. Piezoelectric angular acceleration sensor is used to measure angular acceleration directly Adaptive FIR filter based on LMS algorithm is established on DSP by which angular acceleration signal can be filtered and corrected errors adaptively then angular acceleration signals can be measured adaptively. This method avoids measurement errors and calculation noise by computing angular acceleration indirectly thus improving measurement precision and making measurement results better than traditional methods. The gotten angular acceleration can be sent to servo control mechanism as feed forward control signals to improve control effects of servo turntable significantly. 2011 IEEE.
	Analyse the angular velocity estimation errors of -- filter based on high sampling rate (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者: Zhang Y. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In order to get angular velocity of stabilization servo mechanism from angular position sensors -- filter based on high sampling rate was established model and error characteristics were analyzed. With the hypothesis of constant acceleration -- filter and its angular velocity transfer function were deduced. Combing with optimum parameters the effects of and sample rate on the error characteristics were evaluated. According to the requirements of stabilization servo mechanism the frequency characteristics of angular velocity transfer function are analyzed and the filter parameters are designed. The experimental which filter tracked and smoothed sinusoidal signal the results show that when the cutoff frequency of angular velocity loop is 44.9rad/s sampling period and parameters are 0.08ms and 0.01279 respectively the phase leading of angular position is 70. -- filter tracked sinusoidal signals with maximum angular velocity(30/s) and maximum angular acceleration(30/s2) the error of angular velocity estimation was 0.053/s. In the engineering of electro-optical stabilization servo mechanism -- filter can reduce noise effectively and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.
	The angular velocity estimation principal of -- filter based on high sampling rate (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者: Zhang Y. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 In order to get angular velocity of stabilization servo mechanism from angular position sensors -- filter and its angular velocity transfer function were predigested. Combing with optimum parameters -- filter based on high sampling rate was established the effect of and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration the frequency characteristics of angular velocity transfer function were analyzed three-dimensional Kalman filter was simplified and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s parameters was 0.02 and sampling period were 0.08ms and 0.1ms respectively the filter can realize differential exactly when the spectrum was 9rad/s the precision was no less than 1.1% the phase leading of angular position was no less than 70 the natural frequency should be higher than the cut-off frequency of stabilization platform was two or three times. In the engineering of electro-optical stabilization servo mechanism -- filter has properties of tracking differential and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.
	The research on servo control technology of O-E theodolite based on angular acceleration sensor (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Wei L.; Jin G.; Juan C. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 A new servo control methods for O-E theodolite is presented in this paper. The methods integrates optimally feed forward and feedback control and adopts acceleration delay compensation based on velocity delay compensation then achieves servo control of O-E theodolite effectively. Furthermore Angular acceleration sensor is applied as information resources and adaptive filter is formed to provide with feed forward control signal in the methods. For double closed loop servo control system of O-E theodolite the location correction loop and velocity correction loop are analyzed and designed. Simulation and experimental results show that comparing with traditional methods this servo control methods can improve significantly tracking precision and stability of O-E theodolite. 2010 IEEE.