Cubic higher-order criterion and algorithm for blind extraction of a source signal
Taipei（2009）
摘要
The paper deals with the problem of the blind extraction of a source signal after a MIMO convolutive mixture. The extraction is performed using a MISO equalizer. A contrast function based on high order statistics is first proposed. It is more general than the existing contrast in the same context and exhibits a cubic dependence w.r.t. the unknown equalizer parameters. This allows us to propose a new extraction algorithm based on a third order tensor decomposition. Computer simulations illustrate the good behavior and the usefulness of our algorithm.
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关键词
high order statistic,cubic higher-order criterion,cubic dependence w,source signal,existing contrast,mimo convolutive mixture,order tensor decomposition,miso equalizer,blind extraction,unknown equalizer parameter,computer simulation,new extraction algorithm,contrast function,polynomials,optimization,data mining,filtering,higher order,tensors,multidimensional systems,signal processing,transfer functions,mimo,reactive power,tensile stress,deconvolution,blind source separation
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