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arXiv · 1501.02487

A Unified Analysis Approach for LMS-based Variable Step-Size Algorithms

Muhammad Omer Bin Saeed
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Abstract

The least-mean-squares (LMS) algorithm is the most popular algorithm in adaptive filtering. Several variable step-size strategies have been suggested to improve the performance of the LMS algorithm. These strategies enhance the performance of the algorithm but a major drawback is the complexity in the theoretical analysis of the resultant algorithms. Researchers use several assumptions to find closed-form analytical solutions. This work presents a unified approach for the analysis of variable step-size LMS algorithms. The approach is then applied to several variable step-size strategies and theoretical and simulation results are compared.

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Muhammad Omer Bin Saeed. 2015-01-11. A Unified Analysis Approach for LMS-based Variable Step-Size Algorithms. https://doi.org/10.1007/s13369-017-2453-y

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