Abstract

Independent component analysis (ICA) algorithms, ones of the most popular methods to solve the blind source separation (BSS) problems, can be classified into two main categories: time-domain and frequency-domain algorithms. The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problems with complex-valued data. Novey and Adali extend the Complex FastICA algorithm to noncircular sources, named noncircular FastICA (nc-FastICA). In this paper, we solve the blind non-circular source separation (BNSS) of linear instantaneous mixture problem in frequency domain, by deriving a new fixed-point algorithm witch uses the noncircular information of pseudo-covariance matrix in frequency domain. Simulations are presented to demonstrate the effectiveness of our proposed method.

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