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4篇 您的检索式:作者名="Tian Runlan"
    题名 作者 年代 出处 被引量
1A Novel Kernel-based Fuzzy c-means Algorithm with Spatial Information for Image Segmentation显示文摘Yue Yang Shuxu Guo Runlan Tian Peng Liu 2012Energy Procedia2012,,:1
2Bifidobacteria stabilize claudins at tight junctions and prevent barrier dysfunction in mouse necrotizing enterocolitis显示文摘Kelly R. Bergmann Shirley X.L. Liu Runlan Tian Anna Kushnir Jerrold R. Turner Hong-Lin Li Pauline M. Chou Christopher R. Weber Isabelle G. De Plaen 2013The American Journal of Pathology2013,,:1
3Novel polarization filter design for wideband radar显示文摘Usually the polarization of the interference and the target backscattering may vary constantly, so the optimal receiving polarization of the polarization filter should be recalculated, which makes the filter realization very difficult. Also the predict method of the necessary parameters is not explained in most papers, which makes the polarization filter realization impossible. A novel modified interference suppression (MIS) polarization filter is proposed, which resolves these problems by a new polarization designed strategy. The computation of this polarization filter is easy in most conditions, and the necessary parameters estimation method in real time is introduced, which makes polarization filter design possible.Runlan Tian Xiaojian Tian 2012Journal of Systems Engineering and Electronics2012,23,4:1
4Blind carrier frequency estimation for phase shift keying signals in low signal to noise ratio显示文摘In order to solve the problem of carrier frequency blind estimation of PSK signals in electronic reconnaissance, a new estimation method was proposed. The phase shift keying(PSK) signal was divided into several overlapping intervals which had equal length, and the spectrum concentration measures of every interval were extracted by the FFT. And then, using the grid-density clustering, the spectrum concentration measures were classified into two categories, the narrowband spectrum interval and the wideband spectrum interval. The narrowband spectrum interval was regarded as the characteristic class. The spectrums of the characteristic class were accumulated to estimate the carrier frequency of PSK signal. The proposed method had avoided the non linear operation in the traditional PSK signal carrier frequency estimation algorithm. Thus, the signal to noise ratio (SNR) threshold was remarkably decreased. Moreover, the proposed method did not need the prior knowledge of the signal, which was suitable to the electronic reconnaissance occasion. Experimental results had verified the validity of the proposed estimation method in low SNR.Wang Xiaofeng Zhang Guoyi Tian Runlan Li Dawei 2015强激光与粒子束2015,27,10:1
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