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	Mixed noise removal based on Stokes residual noise removal for division of focal plane polarimetric images 期刊论文 OAI收割 Optics and Lasers in Engineering, 2022, 卷号: 159 作者: Jiang, Tuochi; Wen, Desheng; Song, Zongxi; Gao, Wei; Liu, Gang \| 收藏 \| 浏览/下载：70/0 \| 提交时间：2022/09/28 DoFP polarization imaging Laplacian scale mixture Mixed noise removal
	Residual-driven Fuzzy C-Means Clustering for Image Segmentation 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 876-889 作者: Cong Wang; Witold Pedrycz; ZhiWu Li; MengChu Zhou \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/04/09 Fuzzy C-Means image segmentation mixed or unknown noise residual-driven weighted regularization
	Unknown noise removal via sparse representation model 期刊论文 OAI收割 ISA Transactions, 2019, 卷号: 94, 页码: 135-143 作者: Zhang JC(张俊超); Luo HB(罗海波); Hui B(惠斌); Chang Z(常铮); Zhang XY(张祥越) \| 收藏 \| 浏览/下载：48/0 \| 提交时间：2019/04/13 Image denoising Mixed noise Sparse representation Dictionary learning
	Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels 期刊论文 OAI收割 ENTROPY, 2017, 卷号: 19, 期号: 8, 页码: 432 作者: Wang, Yanyan; Li, Yingsong; Albu, Felix; Yang, Rui; Li, YS (reprint author), Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China. \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2018/02/28 Sparse Mcc Algorithms Mixed Noise Environment Zero-attracting Technique Norm Penalties
	Visual Input Modulates Audiomotor Function via Hypothalamic Dopaminergic Neurons through a Cooperative Mechanism 期刊论文 OAI收割 NEURON, 2012, 卷号: 75, 期号: 4, 页码: 688-699 作者: Du, JL 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/06/04 TO-NOISE RATIO MULTISENSORY INTEGRATION LARVAL ZEBRAFISH AUDITORY-CORTEX MAUTHNER CELL TYROSINE-HYDROXYLASE SUPERIOR COLLICULUS SENSORY RESPONSES CEREBRAL-CORTEX MIXED SYNAPSES
	A sensitive solid-phase time-resolved fluorescence immunoassay apparatus (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, June 17, 2009 - June 19, 2009, Beijing, China 作者: Song K.-F.; Li J.-L.; Zhang W.-L.; Wang Y.-L. 收藏 \| 浏览/下载：45/0 \| 提交时间：2013/03/25 In the device a He-Ne laser of flash frequency 1-20 Hz was adopted as exciting light source and three key technical problems have been solved successfully in order to enhance the detecting sensitivity and measuring stability of the device for time-resolved fluorimmunoassays(TRFIA) [1]. The first one is to design optimum exciting optical system so that the exciting light beam excite the sample most effectively. The second one is to have a project spectrum filter which can reduce the affection of the background light to the photomultiplier tube and also ensure influence of the stray light and mixed diffusion light to the sample fluorescence to the least the sample fluorescence through the integrating sphere and come to the grating monochromator The right wavelength will be chosed through changing the angle of incidence of the grating monochromator. The third one is to simulate the principle of sample averaging of BOXCAR averager. In the device SCM was used as primary controller and CPLD was used as timing controller. Through the preparation process signal-to-noise ratio(SNR) will be improved also adjust delay time ampling frequency and sampling number arbitrarily. By testing the sensitivity is 10-12mol/L(substance marked by Eu3+) examination repeat is &le2.5% examination linearity is from 10 -8mol/L to 10-12mol/L correlation coefficient is 99.98%(p&le0.01). The instrument is advanced for ultrasensitive detection of antigen and antibody and solve the tumor genetic variation the virus protein detection. 2009 SPIE.
	A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：53/0 \| 提交时间：2013/03/25 This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light and indeed we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm the tracing of WTMM is not just tedious procedure computationally algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.
	A novel fast lock-in phase-locked loop frequency synthesizer with direct frequency presetting circuit 期刊论文 OAI收割 japanese journal of applied physics part 1-regular papers brief communications & review papers, 2006, 卷号: 45, 期号: 4b, 页码: 3290-3294 Kuang XF; Wu NJ; Shou GL 收藏 \| 浏览/下载：73/0 \| 提交时间：2010/04/11 lock-in speed direct frequency presetting mixed-signal voltage-controlled oscillator (VCO) phase-locked loop (PLL) synthesizer LOW-NOISE CMOS
	Transport through a strongly correlated quantum dot with Fano interference 期刊论文 OAI收割 PHYSICAL REVIEW B, 2005, 卷号: 72, 期号: 16, 页码: 165313-165313 Wu,BH; Cao,JC; Ahn,KH 收藏 \| 浏览/下载：17/0 \| 提交时间：2011/12/17 KONDO RESONANCE MIXED-VALENCE IMPURITY NOISE EQUILIBRIUM