Performance analysis of L0-LMS with Gaussian input signal

@article{Su2010PerformanceAO,
  title={Performance analysis of L0-LMS with Gaussian input signal},
  author={Guolong Su and Jianxun Jin and Yuantao Gu},
  journal={IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS},
  year={2010},
  pages={235-238}
}
Sparse signal processing has attracted much attention in recent years. io-LMS, which inserts a penalty of approximated la norm in the cost function of standard LMS algorithm, is one of the recently proposed sparse system identification algorithms. Numerical simulation results and intuitive explanations demonstrate that l0-LMS has rather small steady-state misalignment and fast convergence rate, especially with selected parameters, compared to its various precursors. In this paper, the mean… CONTINUE READING

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