Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm

نویسندگان

  • F. Pérez-González
  • C. Abdallah
چکیده

In this paper we design a Finite-Impulse-Response (FIR) filter to enforce the so-called Strictly-Positive-Realness (SPR) condition in an adaptive Infinite-Impulse-Response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms.

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تاریخ انتشار 2003