Title :
Recursive least squares implementation of the quadratically constrained IIR filter
Author :
Özçelik, Izzet ; Kale, Izzet ; Baykal, Buyurman
Author_Institution :
Appl. DSP & VLSI Group, Univ. of Westminster, London, UK
Abstract :
To avoid the bias in the equation error (EE) method, the unit norm constrained EE approach was introduced. In order to get faster convergence, the implementation of the EE with the unit norm constraint using recursive least squares via variable loading is presented.
Keywords :
IIR filters; adaptive filters; convergence of numerical methods; least mean squares methods; recursive estimation; IIR filter; adaptive infinite-impulse response filtering; equation error method; quadratic constraint; recursive least squares implementation; variable loading; Adaptive filters; Autocorrelation; Convergence; Cost function; Digital filters; Equations; IIR filters; Least squares methods; Resonance light scattering; Vectors;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.821754
