中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	Deep Cross-Modal ImageVoice Retrieval in Remote Sensing 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 10, 页码: 7049-7061 作者: Chen, Yaxiong; Lu, Xiaoqiang; Wang, Shuai \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2020/10/30 Remote sensing Convolution Quantization (signal) Image retrieval Deep learning Convolutional codes Hamming distance Cross-modal remote sensing image-voice retrieval deep features' similarity deep hash codes quantization error
	Finite-time Control of Discrete-time Systems With Variable Quantization Density in Networked Channels 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1394-1402 作者: Yiming Cheng; Xu Zhang; Tianhe Liu; Changhong Wang \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/03/11 Finite-time ${\cal H}_{\infty }$ controller design quantization-error-dependent Lyapunov function quantized signal
	Improvement of the lower bound of the PCM quantization error for vectors in R-2 期刊论文 OAI收割 JOURNAL OF APPROXIMATION THEORY, 2017, 卷号: 215, 页码: 1-12 作者: Zhou, Heng; Xu, Zhiqiang \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2018/07/30 Unit-norm tight frames PCM quantization error Bessel functions
	Analysis of measuring errors for the visible light phase-shifting point diffraction interferometer (EI CONFERENCE) 会议论文 OAI收割 2010 OSA-IEEE-COS Advances in Optoelectronics and Micro/Nano-Optics, AOM 2010, December 3, 2010 - December 6, 2010, Guangzhou, China 作者: Zhang Y. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 In order to improve the measuring accuracy of the visible light phase-shifting point diffraction interferometer (PS/PDI) for the extreme ultraviolet lithography (EUVL) aspheric mirrors the main measuring errors will be discussed in this paper. At first the elementary configuration and measuring principle of the visible light phase-shifting point diffraction interferometer are introduced briefly then the different errors which are possible to affect the measuring result are summed up the errors include PZT phase-shifting error detector nonlinearity error detector quantization error wavelength instability error and intensity instability error of the laser source vibration error air refractivity instability error and so on. Through detailed analysis and simulation the magnitude of these errors can be obtained. By analysing the reasons which cause these errors and the relationship between these errors and interferometer configuration parameters some methods are put forward to avoid or restrain these errors accordingly.
	The deviation of color matching algorithm in the field of full-color LED display (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China 作者: Wang Y.; Chen Y.; Zhang X.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：19/0 \| 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.
	3D visual methods for object pose measurement 会议论文 OAI收割 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：24/0 \| 提交时间：2012/06/06 Monocular vision Object pose 3D measurement Measurement precision Quantization error Model-based