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Peak Detection and Correlation Analysis in Noisy Time Series Data

  • L. Trinadh
  • R. Venkat Shesu
  • M. Kranthi Kiran
  • Satya V. Jampana
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 5)

Abstract

This paper focus on, the study of correlation (dependency) between the extreme trends (peaks) in multi-variant noise time series data, In some sense, the extreme events disrupt the underlying structure distribution in the data. The peaks are identified using a data-driven algorithm. It is observed that all majority of peak locations are identified using this method. We also evaluate its robustness by giving the different size of data records.

Keywords

Peaks Correlation Buoy Multi-variant time series 

Notes

Acknowledgements

This work was completed in INCOIS Hyderabad. Authors wish to thank Director INCOIS, Hyderabad for the encouragement and facilities provided. Authors also acknowledge the support and guidance of other INCOIS scientists throughout working on this project and preparing this manuscript. We would also like to express our gratitude to Prof. S.C. Satapathy (Head of Department), ANITS, Visakhapatnam for his continuous support and encouragement.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • L. Trinadh
    • 1
  • R. Venkat Shesu
    • 2
  • M. Kranthi Kiran
    • 1
  • Satya V. Jampana
    • 2
  1. 1.Computer Science and Technology, Department of CSEANIL Neerukonda Institute of Technology and Sciences (ANITS)VisakhapatnamIndia
  2. 2.Data and Information Management GroupIndian National Centre for Ocean Information Services (INCOIS)HyderabadIndia

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