Asymptotic Analysis of Bias of FastICA-based Algorithms in Presence of Additive Noise
نویسندگان
چکیده
The idea that common blind techniques based on Independent Component Analysis (ICA) behave in noisy environment like a biased MMSE separator (sometimes called Maximum Ratio Combiner (MRC)) was introduced in our recent work [3]. In this paper, we put this in more precise terms by doing an analysis of the bias of approaches that are based on known ICA algorithm FastICA. We show that the one-unit approach is the best MMSE estimator in terms of the bias.
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تاریخ انتشار 2007