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FILTER DESIGN TO GUARANTEE CONVERGENCE OF THE PSEUDOLINEAR REGRESSION IIR ADAPTIVE ALGORITHM
 

Summary: FILTER DESIGN TO GUARANTEE CONVERGENCE OF THE
PSEUDOLINEAR REGRESSION IIR ADAPTIVE ALGORITHM
F. P´erez-Gonz´alez
and C. Abdallah

BSP Group, Departamento de Tecnolog´ias de las Comunicaciones,
ETSI Telecomunicaci´on, Universidad de Vigo, 36200-VIGO, SPAIN

ICS Group, Department of Electrical and Computer Engineering
University of New Mexico, Albuquerque, NM 87131, USA.
ABSTRACT
In this paper we design a Finite-Impulse-Response (FIR) fil-
ter 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.
1. INTRODUCTION
Many of the adaptive IIR filtering approaches can be clas-
sified into two categories: (1) the equation-error formula-

  

Source: Abdallah, Chaouki T- Electrical and Computer Engineering Department, University of New Mexico

 

Collections: Engineering