Title :
Applications of a variable step size algorithm to QCEE adaptive IIR filters
Author :
Hsu, Pau-Lo ; Tsai, Tsung-Yu ; Lee, Fu-Ching
Author_Institution :
Dept. of Electron. Eng. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
1/1/2000 12:00:00 AM
Abstract :
The quadratic constraint equation error (QCEE) method was proposed by Ho and Chan (see ibid., vol.43, no.1, p.51-62, 1995) to achieve bias removal for the equation error adaptive IIR filters. However, this approach is limited to slow convergence in estimation when a small step size is used; large step sizes lead to significant misadjustment. This article presents a variable step size (VSS) technique to greatly improve the QCEE under its quadratic constraint to achieve both fast convergence and reduced misadjustment for adaptive IIR filters
Keywords :
IIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; QCEE adaptive IIR filters; bias removal; equation error adaptive IIR filters; fast convergence; large step sizes; quadratic constraint; quadratic constraint equation error; reduced misadjustment; slow convergence; small step size; variable step size algorithm; Adaptive filters; Convergence; Equations; Error correction; Finite impulse response filter; IIR filters; Mean square error methods; Signal processing algorithms; Variable structure systems; White noise;
Journal_Title :
Signal Processing, IEEE Transactions on
