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	环境减灾二号卫星偏振扫描大气校正仪在轨信噪比评估期刊论文 OAI收割光学学报, 2022, 卷号: 42 作者: 董浩; 刘振海; 赵鑫鑫; 雷雪枫; 陶菲 \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/11/10 atmospheric optics HJ-2 satellite atmospheric corrector noise model signal-to-noise ratio evaluation solar diffuser 大气光学环境减灾二号卫星大气校正仪噪声模型信噪比评估太阳漫射板
	Improving speech enhancement by focusing on smaller values using relative loss 期刊论文 OAI收割 IET SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 6, 页码: 374-384 作者: Li, Hongfeng; Xu, Yanyan; Ke, Dengfeng; Su, Kaile \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2020/09/07 speech enhancement speech intelligibility performance evaluation learning (artificial intelligence) neural nets absolute differences speech quality relative loss single-channel speech enhancement noisy speech ideal ratio mask phase-sensitive mask mean square error loss function absolute error values magnitude spectra deep learning clean speech recovery short-time objective intelligibility signal-to-distortion ratio segmental signal-to-noise ratio performance evaluation
	Study on performance variable scale evaluation method of reflection laser confocal microscopy 期刊论文 OAI收割 Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2019, 卷号: 48, 期号: 3 作者: F.Wang; Q.Sun; M.Dai; X.Liu; C.Wang \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2020/08/24 Signal to noise ratio,Aberrations,Confocal microscopy,Function evaluation,Functions,Power spectral density,Spectral density,Testing,Wavefronts
	Research of Spectrum Signal-to-Noise Ratio of Large Aperture Static Imaging Spectrometer 期刊论文 OAI收割 spectroscopy and spectral analysis, 2014, 卷号: 34, 期号: 3, 页码: 851-856 作者: Wang Shuang; Xiangli Bin 收藏 \| 浏览/下载：54/0 \| 提交时间：2015/07/06 Fourier transform imaging spectrometry Spectrum signal-to-noise ratio Evaluation model Radiation transmission Noise
	Evaluation of the operating range for ground-based infrared imaging tracking system (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Zhang Z.-D. 收藏 \| 浏览/下载：49/0 \| 提交时间：2013/03/25 Ground-based infrared imaging tracking system (GIITS) is of great importance for aerial target warning and guard. The operating range is one of the key performance specifications on the other which should be calculated calculate the radiation power received on the detector in order to analysis whether the output signal meets the detection requirements or not analyzed and studied during the whole GIITS design process. The operating range is mostly influenced by a few factors without considering the effect of the background radiation. By improving of the traditional method including atmospheric attenuation a new operating range calculation model of the GIITS was established based on two requirements. One is that the image size of observed target should meet the requirement of the processor signal extraction. The number of the pixel occupied by target image should be more than 9. The other is that the signal noise ratio (SNR) of the GIITS should not be less than 5 to meet the requirements of the target detection probability and spatial frequency. The SNR calculation equation in form of energy is deduced and the radiation characteristic of the observed target and background are analyzed. When evaluate the operating range of the GIITS using the new method the performance of GIITS and feature of target and background. This paper firstly makes analysis and summarization on the definite localizations of the traditional operating range equation of the GIITS. The localizations are mainly in two aspects. On one hand we should successively calculate two operating range values according to two requirements mentioned above and choose the minimum value as the analytic result. In the end the dispersion of the image and the effect of image dispersion are not considered in the traditional method an evaluation of operating range for fighter aircraft is accomplished as an example. The influence factors in every aspect on operating range were explored by the calculated result. The new operating range calculation model provides the theoretical basis for the design and applications as well as the comprehensive evaluation of a GIITS. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	The research for EO imaging system simulation (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Optoelectronic System Design, Manufacturing, and Testings, September 9, 2007 - September 12, 2007, Beijing, China 作者: Wang L.-J.; Zhang X.; Zhang X.; Zhang X.; Zhang J.-P. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 Electric-Optical (EO) imaging systems are modern systems especially the one consists of aspheric optics and image processing called wavefront coding system. The design concept of this kind system is totally different from the traditional image system. The trade-off between the complexity of the image deconvolution and the depth of focus extended should be considered. So we establish a simulation model consisting of optical optimization design system signal-to-noise ratio analysis and recovered image evaluation. The data can be exchanged among them. This simulation tools will be very useful in system design process.