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Blind separation of cyclostationary sources using non-orthogonal approximate joint diagonalization

This paper presents a new technique for the blind separation of cyclostationary signals by exploiting the cyclostationary nonstochastic temporal-probability models (fraction on time FOT) for signals (time-series) with periodic structure. The proposed approach is based on the joint diagonalization nonorthogonal of a set of matrices which have the same structure, then it can be simultaneously separating all sources without any restrictions and distributions to the number of cyclic frequencies of each sources. Simulation results are provided to illustrate the effectiveness of the proposed approach.