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Gabor Transform Application in Feature Description of Underwater Echo Signal
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xiaogounihao(½ð±Ò+1):лл 2010-06-11 13:28:58
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
7Â¥2010-06-11 12:51:47
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ÒýÓûØÌû:
Originally posted by taishanyumuzhai at 2010-06-11 12:51:47:
1.   Accession number:  20102212964179

Title:  Gabor transform application in feature description of underwater echo signal

Authors:  Yang, Shubin1 ; Cui, Wanlong1 ; Wang, Huaxi1  

...

thanks!!
8Â¥2010-06-11 12:56:07
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