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Improved Performance of CDL Algorithm Using DDELM-AE and AK-SVD

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

Due to the poor robustness and high complexity of the concentrated dictionary learning (CDL) algorithm, this paper addresses these issues using denoising deep extreme learning machine based on autoencoder (DDELM-AE) and approximate k singular value decomposition (AK-SVD). Different from the CDL algorithm, on input, DDELM-AE is added for enhancing denoising ability and AK-SVD replaces K-SVD for improving running speed. Additionally, experimental results show that the improved algorithm is more efficient than the original CDL algorithm in terms of running time, denoising ability, and stability.

Junwei Mao, M.S., Chongqing University of Posts and Telecommunications. His current main research interest includes: signal processing and deep learning.

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Acknowledgments

This work is supported by Natural Science Foundation of China (Grant No. 61702066), Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant No. KJ1704080), and Chongqing Research Program of Basic Research and Frontier Technology (Grant No. cstc2017jcyjAX0256).

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Authors and Affiliations

  1. Chongqing Key Labs of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Xiulan Yu, Junwei Mao, Chenquan Gan & Zufan Zhang

Authors
  1. Xiulan Yu
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  2. Junwei Mao
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  3. Chenquan Gan
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  4. Zufan Zhang
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Corresponding author

Correspondence to Xiulan Yu .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Yu, X., Mao, J., Gan, C., Zhang, Z. (2020). Improved Performance of CDL Algorithm Using DDELM-AE and AK-SVD. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_105

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_105

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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