TY - JOUR ID - 71469 TI - Blind Separation of Jointly Stationary Correlated Sources JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Aghabozorgi, M. R. AU - Doost Hoseini, A. M. AD - Electerical Engineering, Isfahan University of Technology AD - Electerical and Computer Engineering, Isfahan University of Technology Y1 - 2003 PY - 2003 VL - 16 IS - 4 SP - 331 EP - 346 KW - Blind Source Separation KW - Wold Decomposition KW - Second KW - Order Statistics DO - N2 - The separation of unobserved sources from mixed observed data is a fundamental signal processing problem. Most of the proposed techniques for solving this problem rely on independence or at least uncorrelation assumption for source signals. This paper introduces a technique for cases that source signals are correlated with each other. The method uses Wold decomposition principle for extracting desired and proper information from the predictable part of the observed data, and exploits approaches based on second-order statistics to estimate the mixing matrix and source signals. Simulation results are provided to illustrate the effectiveness of the method. UR - https://www.ije.ir/article_71469.html L1 - https://www.ije.ir/article_71469_6d0d2c72ab75b86a1c37caeec4944af5.pdf ER -