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Energy Bands Based on Wavelet Packet Analysis and Application for Pattern Discovery Cycle

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Emerging Computation and Information teChnologies for Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 146))

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Abstract

In the analysis of time series data telecommunications, the subject of MatLab as a tool to introduce the algorithm of wavelet analysis, in the application of Pattern Discovery in Time Series Data Cycle, introduce the use of frequency analysis algorithms to determine the energy cycle approach, and proposed the approach of calculate the local energy by Time, the algorithm can be found in different time periods of different models, gives examples of remote communication.

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Author information

Authors and Affiliations

  1. Department of Modern Distance Education, Beijing Institute of Technology, Beijing, China

    Li Xiaoping, Cui Huijie, Song Ye, Jiang Zhixiang, Jing Yuhuan, Wu Xiaobing, Xu Qiong, Liang Chunhui, Wang Zhenghong & Liu Xiaohong

Authors
  1. Li Xiaoping
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  2. Cui Huijie
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  3. Song Ye
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  4. Jiang Zhixiang
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  5. Jing Yuhuan
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  6. Wu Xiaobing
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  7. Xu Qiong
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  8. Liang Chunhui
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  9. Wang Zhenghong
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  10. Liu Xiaohong
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Corresponding author

Correspondence to Li Xiaoping .

Editor information

Editors and Affiliations

  1. , School of Com. and Inf. Eng., Zhejiang Gongshang University, Hangzhou, 310018, China, People's Republic

    Elwin Mao

  2. , School of Computer Science & Technology, University of Science & Technology of Ch, Jinzhai Road NO. 96, Hefei, 230027, Anhui, China, People's Republic

    Linli Xu

  3. , Information Technology Department, Zhejiang Economic & Trade Polytechnic, Xuelin Street 280, Hangzhou, 310018, China, People's Republic

    Wenya Tian

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Xiaoping, L. et al. (2012). Energy Bands Based on Wavelet Packet Analysis and Application for Pattern Discovery Cycle. In: Mao, E., Xu, L., Tian, W. (eds) Emerging Computation and Information teChnologies for Education. Advances in Intelligent and Soft Computing, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28466-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-28466-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28465-6

  • Online ISBN: 978-3-642-28466-3

  • eBook Packages: EngineeringEngineering (R0)

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