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Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis 期刊论文
Resources Policy, 2019, 卷号: Vol.61, 页码: 293-303
作者:  Mohamued Elyas Abdulahi;  Yang Shu;  Muhammad Asif Khan
收藏  |  浏览/下载:14/0  |  提交时间:2019/12/13
Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis. 期刊论文
Resources Policy, 2019, 卷号: Vol.61, 页码: 293-303
作者:  Abdulahi, ME;  Shu, Y;  Khan, MA
收藏  |  浏览/下载:7/0  |  提交时间:2019/12/17
A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising 期刊论文
COMPUTATIONAL ECONOMICS, 2019, 卷号: Vol.54 No.2, 页码: 729-761
作者:  He, F;  He, XS
收藏  |  浏览/下载:8/0  |  提交时间:2019/12/17
Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state 期刊论文
IET COMMUNICATIONS, 2018, 卷号: 12, 期号: 12, 页码: 1422-1430
作者:  Li, Suoping;  Sun, Hongchun;  Dou, Zufang;  Zhou, Yongqiang
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/15
Predictions of Concrete Compressive Strength Based on a Hybrid Algorithm of GA-BP 期刊论文
PROCEEDINGS OF THE 4TH ANNUAL INTERNATIONAL CONFERENCE ON MATERIAL ENGINEERING AND APPLICATION (ICMEA 2017), 2017, 卷号: Vol.146, 页码: 265-270
作者:  Shi, RD;  Zhong, W;  Zhang, H;  Chen, HB;  Ji, X
收藏  |  浏览/下载:8/0  |  提交时间:2019/02/28
基于信噪比评价的阈值优选小波去噪法 期刊论文
2016, 2016
钟建军; 宋健; 由长喜; 殷信桥; ZHONG Jianjun; SONG Jian; YOU Changxi; YIN Xinqiao
收藏  |  浏览/下载:7/0
A system boundary identification method for life cycle assessment 期刊论文
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2014, 卷号: 19, 页码: 646-660
作者:  Li, Tao;  Zhang, Hongchao;  Liu, Zhichao;  Ke, Qingdi;  Alting, Leo
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/09
A novel feature subset selection algorithm based on association rule mining 期刊论文
INTELLIGENT DATA ANALYSIS, 2013, 卷号: 17, 期号: [db:dc_citation_issue], 页码: 803-835
作者:  Wang, Guangtao;  Song, Qinbao
收藏  |  浏览/下载:8/0  |  提交时间:2019/12/10
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
Being an efficient method of information fusion  image fusion has been used in many fields such as machine vision  medical diagnosis  military applications and remote sensing.In this paper  Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing  including segmentation  target recognition et al.  and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First  the two original images are decomposed by wavelet transform. Then  based on the PCNN  a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength  so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So  the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment  the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range  which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore  by this algorithm  the threshold adjusting constant is estimated by appointed iteration number. Furthermore  In order to sufficient reflect order of the firing time  the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved  each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules  the experiments upon Multi-focus image are done. Moreover  comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.  
A method to determine the orientations of adsorbed molecules by near edge structures and selection rules 期刊论文
2010, 2010
Zhang Wei-Hua; Li Jia-Ming
收藏  |  浏览/下载:1/0


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