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The topic of channel estimation for single-input single-output frequency-selective time-invariant channels has been recently addressed using superimposed training (ST) techniques. Improvement of these approaches using iterative algorithms has shown to achieve the best performance, although with the drawback of increasing computation complexity. In this work we propose a new iterative ST algorithm...
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