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Blind Source Separation and Wavelet Packet Based Novel Harmonic Retrieval Algorithm

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Advances in Swarm and Computational Intelligence (ICSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9141))

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Abstract

In this paper, a novel one dimensional harmonic retrieval (HR) algorithm is proposed, which can be applied in additive colored Gaussian or non-Gaussian noise when the frequencies of the harmonic signals are closely spaced in frequency domain. Resorting to the blind source separation (BSS) based harmonic retrieval model, the main algorithm is developed mainly using the wavelet packet (WP) decomposition approach, where the criterion is formed as the cumulant based approximation of the mutual information (MI) for the selection of optimal sub-band of WP decomposition with the least-dependent components between the same nodes. Simulation results show that the proposed algorithm can retrieve the harmonic source signals and yield good performance.

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Author information

Authors and Affiliations

  1. School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China

    Fasong Wang & Zhongyong Wang

  2. School of Sciences, Henan University of Technology, Zhengzhou, China

    Rui Li

  3. National Key Laboratory for Radar Signal Processing, Xidian University, Xi’an, China

    Linrang Zhang

Authors
  1. Fasong Wang
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  2. Zhongyong Wang
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  3. Rui Li
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  4. Linrang Zhang
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Corresponding author

Correspondence to Fasong Wang .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'ian Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Universidade de Pernambuco, Recife, Brazil

    Fernando Buarque

  4. Instituto Politécnico Nacional, Mexico, Mexico

    Alexander Gelbukh

  5. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  6. University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

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© 2015 Springer International Publishing Switzerland

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Wang, F., Wang, Z., Li, R., Zhang, L. (2015). Blind Source Separation and Wavelet Packet Based Novel Harmonic Retrieval Algorithm. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9141. Springer, Cham. https://doi.org/10.1007/978-3-319-20472-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-20472-7_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20471-0

  • Online ISBN: 978-3-319-20472-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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