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The exact solutions to (2+1)-dimensional nonlinear Schrdinger equation 被引量:4
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作者 ZHANGJin-liang WANGMing-liang FANGZong-de 《原子与分子物理学报》 CAS CSCD 北大核心 2004年第1期78-82,共5页
By using the extended F-expansion method, the exact solutions,including periodic wave solutions expressed by Jacobi elliptic functions, for (2+1)-dimensional nonlinear Schrdinger equation are derived. In the limit c... By using the extended F-expansion method, the exact solutions,including periodic wave solutions expressed by Jacobi elliptic functions, for (2+1)-dimensional nonlinear Schrdinger equation are derived. In the limit cases, the solitary wave solutions and the other type of traveling wave solutions for the system are obtained. 展开更多
关键词 非线性薛定谔方程 精确解 行波解 孤波解 周期波解 计算物理学
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The periodic wave solutions for the generalized Nizhnik-Novikov-Veselov equation 被引量:18
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作者 张金良 任东锋 +2 位作者 王胆亮 王跃明 方宗德 《Chinese Physics B》 SCIE EI CAS CSCD 2003年第8期825-830,共6页
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The periodic wave solutions for two systems of nonlinear wave equations 被引量:15
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作者 王明亮 王跃明 张金良 《Chinese Physics B》 SCIE EI CAS CSCD 2003年第12期1341-1348,共8页
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A NEW APPROACH FOR UNSUPERVISED RESTORING IMAGES BASED ON WAVELET-DOMAIN PROJECTION PURSUIT LEARNING NETWORK
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作者 LinWei TianZheng WenXianbin 《Journal of Electronics(China)》 2003年第5期383-386,共4页
The Wavelet-Domain Projection Pursuit Learning Network (WDPPLN) is proposedfor restoring degraded image. The new network combines the advantages of both projectionpursuit and wavelet shrinkage. Restoring image is very... The Wavelet-Domain Projection Pursuit Learning Network (WDPPLN) is proposedfor restoring degraded image. The new network combines the advantages of both projectionpursuit and wavelet shrinkage. Restoring image is very difficult when little is known about apriori knowledge for multisource degraded factors. WDPPLN successfully resolves this problemby separately processing wavelet coefficients and scale coefficients. Parameters in WDPPLN,which are used to simulate degraded factors, are estimated via WDPPLN training, using scalecoefficients. Also, WDPPLN uses soft-threshold of wavelet shrinkage technique to suppress noisein three high frequency subbands. The new method is compared with the traditional methodsand the Projection Pursuit Learning Network (PPLN) method. Experimental results demonstratethat it is an effective method for unsupervised restoring degraded image. 展开更多
关键词 Wavelet-domain Projection pursuit learning network Wavelet shrinkage Unsu-pervised restoring image
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HYDROTHERMAL SYNTHESIS OF NANO-METER MICROPOROUS ZINC FERRITE 被引量:6
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作者 XiaolingHu PingGuan XinYan 《China Particuology》 SCIE EI CAS CSCD 2004年第3期135-137,共3页
Nano-meter microporous zinc ferrite was prepared by a hydrothermal method, using triethylamine as a template. Adsorption curves showed that the product had a microporous structure. The effects of precursor pH, reactio... Nano-meter microporous zinc ferrite was prepared by a hydrothermal method, using triethylamine as a template. Adsorption curves showed that the product had a microporous structure. The effects of precursor pH, reaction temperature and reaction time on the preparation were studied, yielding optimal conditions: pH=11, 448 K, 360 min. The morphology of zinc ferrite as observed by TEM, showed that zinc ferrite was well-crystallized and well-dispersed with little conglomeration. 展开更多
关键词 zinc ferrite microporous structure TEMPLATE hydrothermal synthesis
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