Title :
IIR adaptive filters using discrete orthogonal functions
Author :
Fahmy, M.F. ; ElRaheem, G.M. ; Gharieb, R.R.
Author_Institution :
Dept. of Electr. & Electron. Eng., Assiut Univ., Egypt
Abstract :
A novel adaptive IIR (infinite impulse response) system identification algorithm is described. It is based on resolving the target function into a set of discrete orthogonal functions which in turn ensures complete independence of subsequent sections. Examples show that this method always results in a much improved adaptation rate compared with the other approaches. It is concluded that using discrete orthogonal functions improves significantly the convergence properties of adaptive recursive filters
Keywords :
adaptive filters; convergence of numerical methods; digital filters; filtering and prediction theory; identification; IIR adaptive filters; adaptation rate; convergence properties; discrete orthogonal functions; identification algorithm; target function; Adaptive filters; Adaptive systems; Algorithms; Convergence; Least squares methods; Newton method; Recursive estimation; System identification; Transfer functions; White noise;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230300
