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EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search 会议论文
Glasgow, United Kingdom, 19-24 July 2020
作者:  Yong Yuan;  Chen Chen;  Xiyuan Hu;  Silong Peng
收藏  |  浏览/下载：67/0  |  提交时间：2020/10/27
A Time-Domain Channel Estimation Method for MIMO-OFDM Systems with Low-Precision Quantization 期刊论文
Wireless Personal Communications, 2017, 卷号: Vol.94 No.3, 页码: 1869-1879
作者:  Xiong, XZ;  Wang, HF
收藏  |  浏览/下载：2/0  |  提交时间：2019/02/25
Performance Analysis of CFO Estimation for OFDM Systems with Low-Precision Quantization 期刊论文
WIRELESS COMMUNICATIONS, NETWORKING AND APPLICATIONS, WCNA 2014, 2016, 卷号: Vol.348, 页码: 1005-1016
作者:  Li, DD;  Xiong, XZ;  Wang, HF
收藏  |  浏览/下载：18/0  |  提交时间：2019/02/25
Analysis and reduction of the ringing effect in video coding 期刊论文
2010, 2010
Yuan Yu; Sun Lifeng; Zhong Yuzhuo
收藏  |  浏览/下载：3/0
The deviation of color matching algorithm in the field of full-color LED display (EI CONFERENCE) 会议论文
2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China
Hao Y.-R.; Wang Y.; Zhang X.; Wang R.-G.; Chen Y.; Ding T.-F.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
In this paper  a color gamut transformation method which transformed the different color gamut into a same one has been proposed. In the transforming process  the deviation which was arose from the quantization error and the truncation error were existing. If the deviation was out of the color tolerance  the uniformity of the screen color will be deteriorated. Firstly  the color tolerance of vision was calculated by the color-difference formula. Secondly  in the full-color LED display experiments  it was analyzed that the tri -color tolerance values are respectively 2.5  2.8 and 1.3. According to the tri -color tolerance values and the color difference formula  the express of the quantization precision  gray value and the color difference was set up. Finally the gray-scale range of the color uniformity was analyzed by the collected data  it was concluded that the uniformity of the display was satisfied the requirement of the visual when the range of the gray level was [11  14]  and when the range was [1  11]  the value of the color difference was also reduced significantly. 2009 IEEE.  
A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Han Q.-L.; Zhu M.; Yao Z.-J.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces  
3D visual methods for object pose measurement 会议论文
Conference on Visualization and Optimization Techniques, WUHAN, China, October 22-24, 2001
作者:  Hao YM(郝颖明);  Zhu F(朱枫);  Ou JJ(欧锦军)
收藏  |  浏览/下载：13/0  |  提交时间：2012/06/06

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