Effective Iteration Method of a Class of Nonlinear Signal Denoising Based on Singular Value Decomposition

Zha Xiang; Ni Shi-hong; Zhang Peng

doi:10.11999/JEIT141605

Volume 37 Issue 6

Jun. 2015

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Zha Xiang, Ni Shi-hong, Zhang Peng. Effective Iteration Method of a Class of Nonlinear Signal Denoising Based on Singular Value Decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1330-1335. doi: 10.11999/JEIT141605

Citation:

Zha Xiang, Ni Shi-hong, Zhang Peng. Effective Iteration Method of a Class of Nonlinear Signal Denoising Based on Singular Value Decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1330-1335. doi: 10.11999/JEIT141605

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Effective Iteration Method of a Class of Nonlinear Signal Denoising Based on Singular Value Decomposition

doi: 10.11999/JEIT141605

Received Date: 2014-12-15
Rev Recd Date: 2015-03-05
Publish Date: 2015-06-19

Abstract

Abstract

To solve a class of nonlinear signal denoising, an effective iteration method based on the Singular Value Decomposition (SVD) is proposed. When the signals have no obvious characteristic frequency and non-periodic change, the current difference spectrum method is not applicable by comparing the results on the two class of nonlinear signal, and then the corresponding reason is analyzed. According to the signal feature, the structure of the Hankel matrix is defined again and the valid singular values are determined. The effective denoising is realized by the repeated iteration which is based on the SVD. The results of the flight data demonstrate that the proposed method can effectively reduce the noise and improve the computing efficiency as well.
- Signal processing,
- Denoising,
- Singular Value Decomposition (SVD),
- Characteristic frequency,
- Hankel matrix

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References(19)

References

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