Title :
On transient error surfaces of output error IIR adaptive filtering
Author :
Mayyas, K. ; Aboulnasr, T.
Author_Institution :
Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan
fDate :
3/1/1998 12:00:00 AM
Abstract :
Addresses the convergence of IIR output error adaptive algorithms. We argue that convergence to global or local optimum is simultaneously determined by the shape of the transient error surface and the convergence speed of the algorithm. This argument is confirmed by simulation examples comparing the convergence of LMS-based and LS-based algorithms
Keywords :
IIR filters; adaptive filters; convergence of numerical methods; error analysis; least mean squares methods; least squares approximations; IIR output error adaptive algorithms; LMS-based algorithms; LS-based algorithms; convergence; global optimum; local optimum; output error IIR adaptive filtering; transient error surfaces; Adaptive filters; Biomedical signal processing; Circuits; Convergence; Filter bank; Finite impulse response filter; IIR filters; Signal processing; Signal processing algorithms; Wavelet analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
