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Frequency-domain method for separating signal and noise

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Abstract

A new method for separation of signal and noise (SSN) is put forward. Frequency is redefined according to the features of signal and its derivative in the sampling time interval, thus double orthogonal basis (DOB) is constructed so that a signal can be precisely signified with a linear combination of low-frequency DOB. Under joint consideration in time domain (TD) and frequency domain (FD), a method on SSN with high accuracy is derived and a matched algorithm is designed and analyzed. This method is applicable to SSN in multiple frequency bands, and convenient in applying signal characteristics in TD and FD synthetically with higher accuracy.

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References

  1. Wang, Z. M., Yi, D. Y., Measured Data Modeling and Parameter Estimation (in Chinese), Changsha: NUDT Press, 1996, 224–331.

    Google Scholar 

  2. Wang, Z. M., Zhu, J. B., Reduced parameter model on trajectory tracking data with applications, Science in China, Ser. E, 1999, 42(2): 190.

    Article  MATH  MathSciNet  Google Scholar 

  3. Mohammed, A. H., Mahood, R., Separation of multiple time delays using new spectral estimation schemes, IEEE Trans. on Signal Processing, 1998, (6): 1580.

    Google Scholar 

  4. Priestley, M. B., Spectral Analysis and Time Series, New York: Academic Press Inc, 1981, 184–210.

    MATH  Google Scholar 

  5. Zhao, S. N., Xiong, X. Y., Wavelet Transform and Its Analysis (in Chinese), Beijing: Electron Technology Press, 1997, 14–25.

    Google Scholar 

  6. Michael, S. R., Thomous, W. P., Discrete-time, discrete-frequency analysis, IEEE Trans. on Signal Processing, 1998, (6): 1517.

    Google Scholar 

  7. James, O. B., Statistical Decision Theory and Bayesian Analysis, Berlin: Springer-Verlag, 1985, 74–112.

    MATH  Google Scholar 

  8. Wang, Z. M., Yi, D. Y., A new method to parameter identification for system models with ARAM noise, Control Theory & Applications (in Chinese), 1996, (4): 471.

    MathSciNet  Google Scholar 

  9. Wang, Z. M., Zhou, H. Y., A new method for estimating system error of guidance instrument, Science in China, Ser. E, 1998, 41(3): 263.

    Article  MATH  Google Scholar 

  10. Wang, Z. M., Yi, D. Y., The estimation of drift error in range rate measurement, Journal of Astronautics (in Chinese), 1997, (4): 7.

    Google Scholar 

  11. Yi, D. Y., Zhu, J. B., Wang, Z. M., A method by spline function on separating 3-frequency-band signal, Acta Electronica Sinica (in Chinese), 1999, (1): 54.

    Google Scholar 

  12. Zhen, C. W., Concrete Analysis on Stocks · Futures · Foreign Exchange (in Chinese), Shanghai: Fudan University Press, 1995, 18–22.

    Google Scholar 

Download references

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Wang, Z., Duan, X. Frequency-domain method for separating signal and noise. Sci. China Ser. E-Technol. Sci. 43, 9–16 (2000). https://doi.org/10.1007/BF02917132

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  • DOI: https://doi.org/10.1007/BF02917132

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