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	Observer-based event and self-triggered adaptive output feedback control of robotic manipulators 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 32 作者: Gao, Jie; He, Wei; Qiao, Hong \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/11/14 first-order filter impulsive dynamical system model-based event-triggered control neural network nonlinear uncertainty observer estimation robotic manipulator
	Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文 OAI收割 2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China 作者: Yang L.; Zhang X.; Zhang X.; Zhang X.; Yang L. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 In the imaging process of the space remote sensing camera there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation the remote sensing images were restored to give prominence to the characteristic objects in the images. First the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images the point spread function of the imaging system was estimated. In order to improve the accuracy the estimated point spread function was corrected with Gaussian fitting method. Finally the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored its variance and its gray mean gradient increased also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration the blur phenomenon of the images is reduced. The characters are highlighted and the visual effect of the images is clearer. 2011 IEEE.
	Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China 作者: Yang L.; Yang L. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In order to reduce image blur caused by the degradation phenomenon in the imaging process the acquired images of the space remote sensing camera are restored. First the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation the estimated PSF is adjusted with Gaussian fitting. Finally the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.
	An 8-channel, area-efficient, low-power audio sampling rate converter (EI CONFERENCE) 会议论文 OAI收割 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, August 16, 2009 - August 19, 2009, Beijing, China 作者: Liu Y.; Liu Y.; Liu Y.; Wang D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 A novel 8-channle third area-efficient next a new Timing Division Multiplexer (TMD) scheme lowers clock working rate to minimum in order to save power a novel memory addressing scheme reduces 20% data memory at least. Experiments show proposed methods could not only saved hardware resources but also reduce power consumption low-power audio sampling rate converter is proposed in this paper so it is very suitable for consumer electronics. 2009 IEEE. conversion ratio is 2:1 and 4:1. Filter design and implementation are the key points for the converter. First excluded data and coefficients memories adopting multiplier-free Arithmetic Unit (AU) and rounding methods allows its realization in a cell area of only 0.038mm 2 in 0.18 m technology
	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：37/0 \| 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.
	Memoryless polynomial LMS adaptive filter for orbit object tracking (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China 作者: Wang P. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In order to find a fast and effective solution to orbit object tracking a memoryless polynomial adaptive filter is proposed in this paper. Unlike Volterra adaptive filter the proposed filter is composed of polynomials in different orders which can fit normal orbit trajectory well. A memoryless polynomial filter (MLF) is designed first. The designed memoryless polynomial filter can be separated into a linearization filter and a FIR filter. Analogous to linear LMS adaptive filter a LMS adaptive algorithm is derived for the memoryless polynomial filter which is called Memoryless polynomial LMS adaptive filter (MLPLMS adaptive filter). Experiments show that the proposed filter has better performance than that of a normal LMS filter on orbit tracking. 2009 IEEE.
	Real time tracking by LOPF algorithm with mixture model (EI CONFERENCE) 会议论文 OAI收割 MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, November 15, 2007 - November 17, 2007, Wuhan, China Meng B.; Zhu M.; Han G.; Wu Z. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 A new particle filter-the Local Optimum Particle Filter (LOPF) algorithm is presented for tracking object accurately and steadily in visual sequences in real time which is a challenge task in computer vision field. In order to using the particles efficiently we first use Sobel algorithm to extract the profile of the object. Then we employ a new Local Optimum algorithm to auto-initialize some certain number of particles from these edge points as centre of the particles. The main advantage we do this in stead of selecting particles randomly in conventional particle filter is that we can pay more attentions on these more important optimum candidates and reduce the unnecessary calculation on those negligible ones in addition we can overcome the conventional degeneracy phenomenon in a way and decrease the computational costs. Otherwise the threshold is a key factor that affecting the results very much. So here we adapt an adaptive threshold choosing method to get the optimal Sobel result. The dissimilarities between the target model and the target candidates are expressed by a metric derived from the Bhattacharyya coefficient. Here we use both the counter cue to select the particles and the color cur to describe the targets as the mixture target model. The effectiveness of our scheme is demonstrated by real visual tracking experiments. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident when the target encountering the occlusion in real video where the standard particle filter usually fails.
	A novel method of calculation-separating second order spectrum in grating spectrometers (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China 作者: Xiang Y. 收藏 \| 浏览/下载：14/0 \| 提交时间：2013/03/25 In grating spectrometers according to wavelength short-wave second-order spectrum superimposes on long-wave spectrum with the wavelength twice as long as the short-wave. Usually spectrum of long-wave range is got via preventing the superimposition of short-wave second-order spectrum by cut-off filters. This paper analyses the characteristic of the ratio of short-wave second-order spectrum in long-wave superimposing spectral range to first-order spectrum in short-wave free spectral range of diffraction gratings. The paper studies a novel method of obtaining long-wave spectrum via calculation-separating short-wave second-order spectrum from mixed spectra in long-wave superimposing spectral range by data processing with the spectrum of free spectral range and the ratio (instrumental parameter) of short-wave second-order spectrum to first-order spectrum measured beforehand. Spectrum-measurement experiments were carried out by VIS-NIR spectrometers (0.36 - 1.0m). That the spectrum data got via calculation-separation coincide with those got via cut-off filter indicates that spectrum can be obtained by processing the measured date without filters in whole operating wavelength.