By L. Morales

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Ignoring O ea , ea 6, and taking expectations of both sides of the above equation, we get 1 1 E e , e E v , v E e v , v ea E e v , v ea . e. v , ea are mutually independent, and Eea Eea2 0 ), we obtain E e , e =E v , v E e , e v , v TEMSE 2 (21) where TEMSE is defined by (5). , EMSE for steady-state MSE and TEMSE for tracking performance. 2, we get Eq e , e Eq v , v Eq e , e v , v TEMSE .

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Y. Tourneret, “An affine combination of two LMS adaptive filters-transient mean-square analysis,” IEEE Trans. Signal Processing, vol. 56, pp. 1853-1864, May, 2008. [17] B. Lin, R. He, L. Song and B. Wang, “Steady-state performance analysis for adaptive filters with error nonlinearities,” Proc. of ICASSP, Taibei, Taiwan, pp. , 2009. [18] N. R. Yousef and A. H. Sayed, “Fixed-point steady-state analysis of adaptive filters,” Int. J. Contr. Signal Processing, vol. 17, pp. 237-258, 2003. [19] B. Lin, R.