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A blind separation method of overlapped multi-components based on time varying AR model

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Abstract

A method utilizing single channel recordings to blindly separate the multicomponents overlapped in time and frequency domains is proposed in this paper. Based on the time varying AR model, the instantaneous frequency and amplitude of each signal component are estimated respectively, thus the signal component separation is achieved. By using prolate spheroidal sequence as basis functions to expand the time varying parameters of the AR model, the method turns the problem of linear time varying parameters estimation to a linear time invariant parameter estimation problem, then the parameters are estimated by a recursive algorithm. The computation of this method is simple, and no prior knowledge of the signals is needed. Simulation results demonstrate validity and excellent performance of this method.

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Authors and Affiliations

  1. College of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Cai QuanWei, Wei Ping & Xiao XianCi

Authors
  1. Cai QuanWei
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  2. Wei Ping
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  3. Xiao XianCi
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Correspondence to Cai QuanWei.

Additional information

Supported by the Program for New Century Excellent Talents in University, Ministry of Education, China (Grant No. NCET-05-0803)

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Cai, Q., Wei, P. & Xiao, X. A blind separation method of overlapped multi-components based on time varying AR model. Sci. China Ser. F-Inf. Sci. 51, 81–92 (2008). https://doi.org/10.1007/s11432-008-0001-9

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  • DOI: https://doi.org/10.1007/s11432-008-0001-9

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