This paper introduces a new variable step-size APA with decorrelation of AR input process is based on the MSD analysis. To achieve a fast convergence rate and a small steady-state estimation error, he proposed algorithm uses variable step size that is determined by minimising the MSD. In addition, experimental results show that the proposed algorithm is achieved better performance than the other algorithms.<\/p>\r\n","references":"[1] S. Haykin, \"Adaptive filter theory\", 4th ed. Upper Saddle River, NJ:Prentice-Hall, 2002.\r\n[2]\tB. Widrow and S. D. Steams, \"Adaptive Signal Processing\", Englewood Cliffs, NJ:Prentice-Hall, 1985.\r\n[3]\tJ.\tBenesty and Y. Huang, Eds.,\t\"Adaptive Signal\r\nProcessing-Applications\tto\tReal-World\tProblems\",\tBerlin, \r\nGermany:Springer-Verlag, 2002.\r\n[4]\tK. Ozeki and T. Umeda, \"An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties\", Electronics and Communications in Japan, vol. 67-A, no. 5, pp. 19-27, 1984.\r\n[5]\tM. Rupp, \"A family of adaptive filter algorithms with decorrelating properties\", IEEE Trans. Signal Processing, vol. 46, pp. 771-775, 1998.\r\n[6]\tS. L. Gay and J. Benesty, \"Acoustic Signal Processing for Telecommunication\". Boston, MA: Kluwer, 2000.\r\n[7]\tS. G. Kratzer and D. R. Morgan, \"The partial-rank algorithm for adaptive beamforming\", Proc. SPIE Int. Soc. Opt. Eng., vol. 564, pp. 914, 1985.\r\n[8]\tS. G. Sankaran and A. A. (Louis) Beex, \"Normalized LMS algorithm with orthogonal correction factors\", Proc. 31st Annu. Asilomar Conf Signals, Syst., Comput., Pacific Grove, CA, Nov. pp. 16204673, 1997.\r\n[9]\tH.-C. Shin, A.H.Sayed, and W.-J.Song, \"Variable step-size NLMS and affine projection algorithms\", IEEE Trans. Signal Process. Lett., vol. 11, no.2, pp. 132-135, 2004.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 70, 2012"}