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Pulsar signal denoising method based on empirical mode decomposition mode cell proportion shrinking

Wang Wen-Bo Zhang Xiao-Dong Wang Xiang-Li

Pulsar signal denoising method based on empirical mode decomposition mode cell proportion shrinking

Wang Wen-Bo, Zhang Xiao-Dong, Wang Xiang-Li
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  • Received Date:  14 August 2012
  • Accepted Date:  24 October 2012
  • Published Online:  05 March 2013

Pulsar signal denoising method based on empirical mode decomposition mode cell proportion shrinking

  • 1. School of Information and Computational Science, Wuhan University of Science and Technology, Wuhan 430065, China;
  • 2. State Key Laboratory of Remote Sensing Science, Beijing 100101, China;
  • 3. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;
  • 4. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant Nos. 41071270, 11201354), the Open Fund of State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing of China (Grant No. 11R01), the Open Fund of State Key Laboratory of Remote Sensing Science of China (Grant No. OFSLRSS201209), the Central University Basic Research Fund of China (Grant No. 2012-IV-043), Natural Science Foundation of Hunan Province, China (Grant Nos. 2010CDB03305) and the Chenguang Foundation of Wuhan City, China (Grant Nos. 201150431096).

Abstract: In order to improve the denoising quality of the pulsar signal, an empirical mode decomposing method (EMD) of pulsar signal denoising based on mode cell proportion shrinking is proposed. Firstly, the pulsar signal is decomposed into a series of intrinsic mode functions (IMF), and the part between the two adjacent zero-crossing within IMF is defined as a mode cell. Then, the optimal proportional shrinking factor is constructed by treating mode cell as the basic unit of analysis. Finally, the all mode cells within IMF are denoised by proportion shrinking, and the mode cell proportion shrinking denoising model is established. The experimental results show that compared with the two EMD denoising algorithms based on coefficient threshold and mode cell threshold, the proposed method can more effectively remove the pulsar signal noise, with better preserving the useful detail information in the original signal.

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