TY - JFULL AU - Masaru Fujieda and Takahiro Murakami and Yoshihisa Ishida PY - 2008/7/ TI - An Approach to Solving a Permutation Problem of Frequency Domain Independent Component Analysis for Blind Source Separation of Speech Signals T2 - International Journal of Electronics and Communication Engineering SP - 1253 EP - 1258 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/3094 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 18, 2008 N2 - Independent component analysis (ICA) in the frequency domain is used for solving the problem of blind source separation (BSS). However, this method has some problems. For example, a general ICA algorithm cannot determine the permutation of signals which is important in the frequency domain ICA. In this paper, we propose an approach to the solution for a permutation problem. The idea is to effectively combine two conventional approaches. This approach improves the signal separation performance by exploiting features of the conventional approaches. We show the simulation results using artificial data. ER -