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Multichannel adaptive blind deconvolution using the complex cepstrum of higher order cross-spectra

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2 Author(s)
Brooks, D.H. ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA ; Nikias, C.L.

An adaptive cross-spectral blind deconvolution method, cross-TEA, for the case in which data are available from several sensors, is described. Unlike ordinary cross-spectra, higher order cross-spectra are separable, and this fact is used to identify and deconvolve each system. Cross-TEA was tested on four-channel QAM (quadrature amplitude modulation) signals, and the results are compared to those for TEA, an autospectral method

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Signal Processing, IEEE Transactions on  (Volume:41 ,  Issue: 9 )