中国科学院机构知识库网格系统: 检索

Denoising of scanning electron microscope images for biological ultrastructure enhancement 期刊论文 OAI收割
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2022, 卷号: 20, 期号: 03, 页码: 21
作者: Chang, Sheng; Shen, Lijun; Li, Linlin; Chen, Xi; Han, Hua

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收藏 | 浏览/下载：71/0 | 提交时间：2022/09/19

SEM noise model denoising variance stabilization transformation two-stage multi-loss deep learning

Applications of differential barometric altimeter in ground cellular communication positioning network 期刊论文 OAI收割
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2020, 卷号: 14, 期号: 3, 页码: 322-331
作者: Hu, Zhengqun; Zhang, Lirong; Ji, Yuanfa

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收藏 | 浏览/下载：28/0 | 提交时间：2021/12/06

cellular radio height measurement measurement errors Global Positioning System altimeters barometers least squares approximations Kalman filters surface fitting spread spectrum communication compensation matrix algebra GPS signal message structure power spectrum spread spectrum ranging signal fitting parameters least-square solution calibration compensation system noise variance matrix measurement noise variance matrix multibase station correction height information correction calculation DBA system systematic performance differential barometric altimeter ground cellular communication positioning network measurement datum distribution altitude positioning error Global Positioning System differential barometric altimetry system systematic implementation level continuous altitude measurement precise altitude measurement DBA systematic implementation aspect two dimensional curved surface fitting function sensor measurement correction filtering effect Kalman filter measuring station multiBSs navigation fusion

GPS/INS松耦合组合导航的自适应卡尔曼滤波算法研究 期刊论文 OAI收割
时间频率学报, 2020, 卷号: 43, 期号: 3, 页码: 222
作者: 周先林; 张慧君; 和涛; 李孝辉

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收藏 | 浏览/下载：36/0 | 提交时间：2021/11/29

integrated navigation adaptive Kalman filtering innovation noise variance 组合导航自适应卡尔曼滤波新息噪声方差

用于测量世界时的大型光纤陀螺仪的噪声分析 期刊论文 OAI收割
天文学报, 2019, 卷号: 60, 期号: 6
作者: 王惜康; 高玉平; 孙中苗

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收藏 | 浏览/下载：42/0 | 提交时间：2020/11/09

fiber optic gyroscope universal time noise figure Allan variance power spectral density 光纤陀螺仪世界时噪声系数阿伦方差功率谱密度

Investigation of noise properties in grating-based x-ray phase tomography with reverse projection method 期刊论文 OAI收割
CHINESE PHYSICS B, 2015, 卷号: 24, 期号: 10, 页码: 108702
作者: Bao Y(鲍园); Wang Y(王研); Zhu PP(朱佩平); Wu ZY(吴自玉); Yuan, B., W. Yan, G. Kun, W. Zhi-Li, Z. Pei-Ping and W. Zi-Yu

收藏 | 浏览/下载：29/0 | 提交时间：2016/04/18

x-ray imaging noise variance spatial resolution computed tomography (CT)

Adaptive Noise Identification in Vision-assisted Motion Estimation for Unmanned Aerial Vehicles 期刊论文 OAI收割
International Journal of Automation and Computing, 2015, 卷号: 12
作者: Zhou Fan; Zheng Wei; Wangl Zengfu

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收藏 | 浏览/下载：25/0 | 提交时间：2020/11/25

Adaptive noise variance identification vision location motion estimation Kalman filter unmanned aerial vehicle

A Practical Guide to Discrete Wavelet Decomposition of Hydrologic Time Series SCI/SSCI论文 OAI收割
2012
Sang Y. F.

收藏 | 浏览/下载：33/0 | 提交时间：2014/12/24

Hydrologic series analysis Discrete wavelet decomposition Reference energy function Significance testing Noise Uncertainty rainfall-runoff singularity detection spectral-analysis neural-networks climate-change model multiresolution identification variance scales

An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE) 会议论文 OAI收割
International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China
Zhang M.-H.; Zhang Y.-Y.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms moreover CR image enhanced has good visual effect the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.

Characterization of a quasi-optical NbN superconducting HEB mixer 期刊论文 OAI收割
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2006, 卷号: 54, 期号: 7, 页码: 2944-2948
作者: Jiang, Ling; Miao, Wei; Zhang, Wen; Li, Ning; Lin, Zhen Hui

收藏 | 浏览/下载：29/0 | 提交时间：2012/02/07

Allan variance conversion loss 4-K close-cycled cryocooler noise temperature superconducting hot-electron bolometer (HEB) mixer

Measuring the system gain of the TDI CCD remote sensing camera (EI CONFERENCE) 会议论文 OAI收割
Advanced Materials and Devices for Sensing and Imaging II, November 8, 2004 - November 10, 2004, Beijing, China
Ya-xia L.; Hai-ming B.; Jie L.; Jin R.; Zhi-hang H.

收藏 | 浏览/下载：70/0 | 提交时间：2013/03/25

The gain of a TDI CCD camera is the conversion between the number of electrons recorded by the TDI CCD and the number of digital units (counts) contained in the CCD image"[1]. TDI CCD camera has been a main technical approach for meeting the requirements of high-resolution and lightweight of remote sensing equipment. It is useful to know this conversion for evaluating the performance of the TDI CCD camera. In general a lower gain is better. However the resulting slope is the gain of the TDI CCD. We did the experiments using the Integration Sphere in order to get a flat field effects. We calculated the gain of the four IT-EI-2048 TDI CCD. The results and figures of the four TDI CCD are given. this is only true as long as the total well depth (number of electrons that a pixel can hold) of the pixels can be represented. High gains result in higher digitization noise. System gains are designed to be a compromise between the extremes of high digitization noise and loss of well depth. In this paper the mathematical theory is given behind the gain calculation on a TDI CCD camera and shows how the mathematics suggests ways to measure the gain accurately according to the Axiom Tech. The gains were computed using the mean-variance method also known as the method of photon transfer curves. This method uses the effect of quantization on the variance in the measured counts over a uniformly illuminated patch of the detector. This derivation uses the concepts of signal and noise. A linear fit is done of variance vs. mean