[1] Zhu Renxiang, Wu Lenan,. Quantum stochastic filters for nonlinear time-domain filteringof communication signals [J]. Journal of Southeast University (English Edition), 2007, 23 (1): 22-25. [doi:10.3969/j.issn.1003-7985.2007.01.005]

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Quantum stochastic filters for nonlinear time-domain filteringof communication signals()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

23

Issue:

2007 1

Page:

22-25

Research Field:

Information and Communication Engineering

Publishing date:

2007-03-30

Info

Title:

Quantum stochastic filters for nonlinear time-domain filteringof communication signals

Author(s):

Zhu Renxiang;  Wu Lenan

School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Keywords:

communication signals processing;  nonlinear filtering;  quantum stochastic filters

PACS:

TN911

DOI:

10.3969/j.issn.1003-7985.2007.01.005

Abstract:

Principles and performances of quantum stochastic filters are studied for nonlinear time-domain filtering of communication signals.Filtering is realized by combining neural networks with the nonlinear Schroedinger equation and the time-variant probability density function of signals is estimated by solution of the equation.It is shown that obviously different performances can be achieved by the control of weight coefficients of potential fields.Based on this characteristic, a novel filtering algorithm is proposed, and utilizing this algorithm, the nonlinear waveform distortion of output signals and the denoising capability of the filters can be compromised. This will make the application of quantum stochastic filters be greatly extended, such as in applying the filters to the processing of communication signals.The predominant performance of quantum stochastic filters is shown by simulation results.

References:

[1] Wang Youguo, Wu Lenan.Noise-improved information transmission in a nonlinear threshold array for Gaussian mixture noise[J].Journal of Southeast University:English Edition, 2006, 22(1):31-34.
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[3] Dawes R L.Quantum neurodynamics:neural Stochastic filtering with the Schroedinger equation[C]//International Joint Conference on Neural Networks.Baltimore, Maryland, 1992, 1:133-140.
[4] Behera L, Sundaram B.Stochastic filtering and speech enhancement using a recurrent quantum neural network [C]//Proceedings of International Conference on Intelligent Sensing and Information Processing.Chennai, India, 2004:165-170.
[5] Behera L, Kar I.Quantum stochastic filtering[C]//IEEE International Conference on System, Man and Cybernetics.Hawaii, USA, 2005, 3:2161-2167.
[6] Bialynicki-Birula I, Mycielski J.Nonlinear wave mechanics[J].Annals of Physics, 1976, 100(1):62-93.
[7] Muhlenbein H.The equation for response to selection and its use for prediction[J].Evolutionary Computation, 1998, 5(3):303-346.

Memo

Memo:

Biographies: Zhu Renxiang(1971—), male, graduate;Wu Lenan(corresponding author), male, doctor, professor, wuln@seu.edu.cn.

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