Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)
DOI: 10.1109/cdc.2001.914578
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Properties of matrix polynomials and MIMO channel identifiability from second order statistics

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“…This should be compared with FSEs with integer oversampling where is the minimum oversampling ratio and, thus, results in the minimum computational overhead. FSEs with fractional oversampling were also treated by Ding and Qiu in the context of blind identification [3]. Although the authors there use a different notation, it can be shown that the problem formulation in [3] is equivalent to the one presented here.…”
Section: Channel Equalization With Fractionally Spaced Equalizersmentioning
confidence: 97%
“…This should be compared with FSEs with integer oversampling where is the minimum oversampling ratio and, thus, results in the minimum computational overhead. FSEs with fractional oversampling were also treated by Ding and Qiu in the context of blind identification [3]. Although the authors there use a different notation, it can be shown that the problem formulation in [3] is equivalent to the one presented here.…”
Section: Channel Equalization With Fractionally Spaced Equalizersmentioning
confidence: 97%