Convergence Analysis of Proportionate-type Least Mean Square Algorithms

نویسندگان

  • Vinay Chakravarthi Gogineni
  • Subrahmanyam Mula
چکیده

In this paper, we present the convergence analysis of proportionate-type least mean square (Pt-LMS) algorithm that identifies the sparse system effectively and more suitable for real time VLSI applications. Both first and second order convergence analysis of Pt-LMS algorithm is studied. Optimum convergence behavior of Pt-LMS algorithm is studied from the second order convergence analysis provided in this paper. Simulation results were conducted to verify the analytical results.

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عنوان ژورنال:
  • CoRR

دوره abs/1512.04004  شماره 

صفحات  -

تاریخ انتشار 2015