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icise 2009 已经进入IEEE数据库，何时EI 检索 已有7人参与
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newgreen
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6楼2010-06-11 12:46:18
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小木虫(金币+0.5):给个红包，谢谢回帖交流
xiaogounihao(金币+1):谢谢 2010-06-11 13:28:58
小木虫(金币+0.5):给个红包，谢谢回帖交流
xiaogounihao(金币+1):谢谢 2010-06-11 13:28:58
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1. Accession number: 20102212964179 Title: Gabor transform application in feature description of underwater echo signal Authors: Yang, Shubin1 ; Cui, Wanlong1 ; Wang, Huaxi1 Author affiliation: 1 School of Electrical and Info. Eng., Wuhan Institute of Technology, Wuhan, 430073, China Corresponding author: Wang, H. (huaxi.wang@gmail.com) Source title: 2009 1st International Conference on Information Science and Engineering, ICISE 2009 Abbreviated source title: Int. Conf. Inf. Sci. Eng., ICISE Monograph title: 2009 1st International Conference on Information Science and Engineering, ICISE 2009 Issue date: 2009 Publication year: 2009 Pages: 566-569 Article number: 5455004 Language: English ISBN-13: 9780769538877 Document type: Conference article (CA) Conference name: 1st International Conference on Information Science and Engineering, ICISE2009 Conference date: December 26, 2009 - December 28, 2009 Conference location: Nanjing, China Conference code: 80401 Sponsor: Computer Society of Jiangsu province; University of Kentucky; Howard University; City University of Hong Kong; Georgia State University Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: For the nonstationarity of target echo signals acquired by laser underwater target detecting system and the relevance between target echo signal and noise, in virtue of texture analysis of image processing, Gabor transform is used to localize the target echo signal in both time and frequency domain. Then the second features are extracted on Gabor transform coefficients matrix. After that trace of Gabor transform coefficients matrix and various eigenvalues are constructed to describe the target echo signal integrated texture information features. Experiments prove that features extracted on different targets by the proposed method are different and different targets can be effectively differentiated by these features. ©2009 IEEE. Number of references: 8 Main heading: Underwater acoustics Controlled terms: Eigenvalues and eigenfunctions - Frequency domain analysis - Image analysis - Information science - Signal detection - Target drones - Targets - Textures - Time domain analysis Uncontrolled terms: Echo signals - Eigenvalues - Feature description - Frequency domains - Gabor transform - Non-stationarities - Target echo - Texture analysis - Texture information - Underwater target - Underwater target detection Classification code: 933 Solid State Physics - 751.1 Acoustic Waves - 903 Information Science - 921 Mathematics - 921.1 Algebra - 921.3 Mathematical Transformations - 932.1.1 Particle Accelerators - 741 Light, Optics and Optical Devices - 723.2 Data Processing and Image Processing - 716.1 Information Theory and Signal Processing - 703.1.1 Electric Network Analysis - 652.1.2 Military Aircraft - 404.1 Military Engineering - 731.1 Control Systems DOI: 10.1109/ICISE.2009.615 Database: Compendex Compilation and indexing terms, © 2009 Elsevier Inc |
7楼2010-06-11 12:51:47
newgreen
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8楼2010-06-11 12:56:07
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小木虫: 金币+0.5, 给个红包，谢谢回帖
小木虫: 金币+0.5, 给个红包，谢谢回帖
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