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In this paper, some existing methods for estimating the shape parameter α of generalized Gaussian distribution (GGD) and their main features are summarized and compared with each other theoretically and practically. Some problems for the existing methods are put forward and some suggestions are also given for the further study on this problem.
The purpose of this paper is to develop nonparametric blind signal separation (BSS) algorithm for linear dependent source signals, which is proposed under the framework of contrast method as in independent component analysis (ICA). The contrast function is derived from the Schweizer-Wolff measure of pairwise dependence between the variables. Simulation(More)
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