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Advances in Signal Processing and Intelligent Recognition Systems pp 245–255Cite as

Performance Evaluation of S-Golay and MA Filter on the Basis of White and Flicker Noise

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 425))

Abstract

EEG is one of the most effective diagnostic techniques to evaluate the electrical activity in brain. For that we use a variety of filters to reduce the artifacts existing in the EEG signal. The main objective of the paper is to compare the functioning of the two commonly used filters i.e. the moving average and S-Golay. This is done by creating a synthetic signal and then by adding white or flicker (pink) noise to it. The analysis is made on the basis of performance of filters on SNR of the final output while keeping the same number of reference points (frame length) and observing the distortion ratio. Furthermore the most important information of EEG signal lies in the peak of the signal so it becomes absolutely necessary to use a filter that not only filters out the noise better but simultaneously shows the ability to provide the least distortion from the original signal. The shape preserving characteristics of the filter are determined at different noise levels and peaks are detected.

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Author information

Authors and Affiliations

  1. Instrumentation and Control Engineering Division, NSIT, University of Delhi, Sec-3, Dwarka, New Delhi, India

    Shivang Baijal, Shelvi Singh, Asha Rani & Shivangi Agarwal

Authors
  1. Shivang Baijal
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  2. Shelvi Singh
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  3. Asha Rani
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  4. Shivangi Agarwal
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Corresponding author

Correspondence to Shivangi Agarwal .

Editor information

Editors and Affiliations

  1. and Management – Kerala (IIITM-K), Indian Inst. of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. Department of Electrical, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. Computer Engineering Department, Vladimir State University, Vladimir Region, Russia

    Sergey Mosin

  6. School of Electrical, Nanyang Technological University, Singapore, Singapore

    Maode Ma

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© 2016 Springer International Publishing Switzerland

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Baijal, S., Singh, S., Rani, A., Agarwal, S. (2016). Performance Evaluation of S-Golay and MA Filter on the Basis of White and Flicker Noise. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-28658-7_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28656-3

  • Online ISBN: 978-3-319-28658-7

  • eBook Packages: EngineeringEngineering (R0)

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