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

Science in China(Series F) 2008年第1期51卷 81-92页

作者： cai quanwei {2. Ping xlao xianci College of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China

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.

关键词： time varying AR model time and frequency domains overlap single channel multi-components separation recursive algorithm

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维普期刊数据库

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Single channel signal component separation using Bayesian estimation

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Journal of Systems Engineering and Electronics 2007年第1期18卷 33-39页

作者： cai quanwei {2. Ping Xiao xianci Coll. of Electronic Engineering Univ. of Electronic Science and Technology Chengdu 610054 P.R. China

A Bayesian estimation method to separate multicomponent signals with single channel observation is presented in this paper. By using the basis function projection, the component separation becomes a problem of limited parameter estimation. Then, a Bayesian model for estimating parameters is set up. The reversible jump MCMC （Monte Carlo Markov Chain） algorithmis adopted to perform the Bayesian computation. The method can jointly estimate the parameters of each component and the component number. Simulation results demonstrate that the method has low SNR threshold and better performance.

关键词： Signal component separation Single channel Bayesian estimation Reversible jump MCMC

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Single-channel blind separation of overlapped multicomponents based on energy operator

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Science China(Information Sciences) 2010年第1期53卷 147-157页

作者： cai quanwei, {2. Ping & XIAO xianci College of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China 1. College of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China

A method utilizing single channel recordings to blind separate the multicomponents overlapped in both time and frequency domains is proposed in this paper. The main idea of the method is based on using the energy operator and differential energy operator to estimate instantaneous frequencies and amplitudes of each component and then to reconstruct these components. This method, due to the good time resolution of the energy operator and differential energy operator, as well as the very low computational complexity, is very useful in real time processing and practical applications. Simulation results demonstrated the effciency of this method.

关键词： single channel time frequency overlap multicomponents separation energy operator differential energy operator

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