哪位好心人能帮我查一下文章是否被EI检索了：Detecting and extracting vibration disturb in IMU testing in field Liu Gang; Yang Jie; Wang Lixin; Gao Jiang; Wang Xiaomei;还有一篇：Modulation recognition of communication signal bas

哪位好心人能帮我查一下文章是否被EI检索了：Detecting and extracting vibration disturb in IMU testing in field Liu Gang; Yang Jie; Wang Lixin; Gao Jiang; Wang Xiaomei;还有一篇：Modulation recognition of communication signal bas
哪位好心人能帮我查一下文章是否被EI检索了：
Detecting and extracting vibration disturb in IMU testing in field
Liu Gang; Yang Jie; Wang Lixin; Gao Jiang; Wang Xiaomei;
还有一篇：Modulation recognition of communication signal based on wavelet RBF neural network
He Bing; Liu Gang; Ge Cun; Gao Jiang;

哪位好心人能帮我查一下文章是否被EI检索了：Detecting and extracting vibration disturb in IMU testing in field Liu Gang; Yang Jie; Wang Lixin; Gao Jiang; Wang Xiaomei;还有一篇：Modulation recognition of communication signal bas
第一篇：
　　Accession number: 20104313316802
　　Title: Detecting and extracting vibration disturb in IMU testing in field
　　Authors: Gang, Liu1 ; Jie, Yang1 ; Lixin, Wang1 ; Jiang, Gao2 ; Xiaomei, Wang2
　　Author affiliation: 1 Xi'an Hongqing Research Institute of Hi-Tech, Xi'an, Shaanxi Province, China
　　2 PLA Sergeant College of the Second Artillery, Qinzhou, China
　　Corresponding author: Gang, L. ([email protected])
　　Source title: ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
　　Abbreviated source title: ICCET - Int. Conf. Comput. Eng. Technol., Proc.
　　Volume: 2
　　Monograph title: ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
　　Issue date: 2010
　　Publication year: 2010
　　Pages: V2516-V2518
　　Article number: 5485585
　　Language: English
　　ISBN-13: 9781424463503
　　Document type: Conference article (CA)
　　Conference name: 2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010
　　Conference date: April 16, 2010 - April 18, 2010
　　Conference location: Chengdu, China
　　Conference code: 81865
　　Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
　　Abstract: IMU was often interrupted by the vibration of ground when it was calibrated in the field, the vibration disturb would cause great influence to the calibrated precision of IMU. This paper first established the mathematic model of vibration signal, then analyzed the output signal of IMU by using wavelet modulus maximum method, finally deduced a arithmetic to restrain the noise disturb and distill the vibration. Simulation shows that this arithmetic had very good detection ability. © 2010 IEEE.
　　Number of references: 6
　　Main heading: Vibration analysis
　　Controlled terms: Calibration - Signal detection
　　Uncontrolled terms: Detection ability - IMU calibration - In-field - Mathematic model - Modulus maxima - Output signal - Vibration disturb - Vibration signal - Wavelet - Wavelet modulus maxima
　　Classification code: 716.1 Information Theory and Signal Processing - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 943.2 Mechanical Variables Measurements - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments
　　DOI: 10.1109/ICCET.2010.5485585
　　Database: Compendex
　　Compilation and indexing terms, © 2010 Elsevier Inc.
　　第二篇：
　　Accession number: 20104313316796
　　Title: Modulation recognition of communication signal based on wavelet RBF neural network
　　Authors: He, Bing1 ; Liu, Gang1 ; Cun, Ge2 ; Jiang, Gao2
　　Author affiliation: 1 Xi'an Hongqing Research Institute of Hi-Tech, Xi'an, Shaanxi Province, China
　　2 Second Artillery Petty Officer School, QingZhou, Shandong Province, China
　　Corresponding author: He, B. ([email protected])
　　Source title: ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
　　Abbreviated source title: ICCET - Int. Conf. Comput. Eng. Technol., Proc.
　　Volume: 2
　　Monograph title: ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
　　Issue date: 2010
　　Publication year: 2010
　　Pages: V2490-V2492
　　Article number: 5485567
　　Language: English
　　ISBN-13: 9781424463503
　　Document type: Conference article (CA)
　　Conference name: 2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010
　　Conference date: April 16, 2010 - April 18, 2010
　　Conference location: Chengdu, China
　　Conference code: 81865
　　Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
　　Abstract: Modulation recognition of communication signal is to confirm the modulation style of communication signal in the condition with much noise. Wavelet transformation has a good localization characteristic in time-frequency domain, while the neural network has characteristics of self-studying, self-adaptation, and high stabilization and can improve the autoimmunization and intelligence of recognition. We adopted the ideal of combination of wavelet and neural network in the paper, firstly, we used the wavelet to decompose the signal, and then abstracted the characteristic through the wavelet coefficient, lastly we adopted the RBF(Radial Basis Funtion) nerual network to recognize 4 kinds of common digital communication signal. The simulation results indicate that the presented method performs well. © 2010 IEEE.
　　Number of references: 8
　　Main heading: Neural networks
　　Controlled terms: Amplitude modulation - Communication - Digital communication systems - Radial basis function networks - Signal processing - Wavelet transforms
　　Uncontrolled terms: Communication signals - Digital communication signals - Modulation recognition - Radial basis - RBF Neural Network - Self adaptation - Simulation result - Time frequency domain - Wavelet coefficients - Wavelet transformations
　　Classification code: 716 Telecommunication; Radar, Radio and Television - 716.1 Information Theory and Signal Processing - 723.4 Artificial Intelligence - 921.3 Mathematical Transformations
　　DOI: 10.1109/ICCET.2010.5485567
　　Database: Compendex
　　Compilation and indexing terms, © 2010 Elsevier Inc.