Transient and steady-state analysis of the affine combination of two adaptive filters
Renato Candido, Magno T. M. Silva, Vítor H. Nascimento. Transient and steady-state analysis of the affine combination of two adaptive filters. IEEE Transactions on Signal Processing, v.58, n.8, pp.4064–4078, Aug. 2010.
In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are based on expressions for the excess mean-square error (EMSE) and cross-EMSE of the component filters, which allows their application to different combinations of algorithms, such as least mean-squares (LMS), normalized LMS (NLMS), and constant modulus algorithm (CMA), considering white or colored inputs and stationary or nonstationary environments. Since the desired universal behavior of the combination depends on the correct estimation of the mixing parameter at every instant, its adaptation is also taken into account in the transient analysis. Furthermore, we propose normalized algorithms for the adaptation of the mixing parameter that exhibit good performance. Good agreement between analysis and simulation results is always observed.
Adaptive filters, Affine combination, Least mean-square methods, Tracking, Transient analysis, Unsupervised learning.