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The Steady-State Mean-Square Error Analysis for Least Mean p -Order Algorithm

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4 Author(s)
Bin Lin ; Coll. of Inf. Eng., Dalian Maritime Univ., Dalian ; Rongxi He ; XuDong Wang ; Baisuo Wang

Based on series expansion, the steady-state mean-square error (MSE) analysis for real and complex least mean p-order (LMP) algorithm is developed, and some closed-form analytical expressions for the steady-state MSE and the corresponding restrictive conditions for step-size are given. Moreover, in Gaussian noise environments, its steady-state performance is also investigated. The analyses for some well-known algorithms and the computer simulation validate the accuracy of the results.

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Signal Processing Letters, IEEE  (Volume:16 ,  Issue: 3 )