Title :
A delta -operator recursive gradient algorithm for adaptive signal processing
Author :
Fan, Hong ; Li, Qiang
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
The authors investigate how the delta operator can be used in adaptive signal processing and its numerical advantages in identifying LDLF (lightly damped low-frequency) poles. A delta recursive gradient algorithm is developed, and its local convergence speed is analyzed. Computer simulations show drastic improvement in convergence speed over the q-operator-based algorithms for LDLF poles.<>
Keywords :
adaptive filters; convergence of numerical methods; poles and zeros; signal processing; adaptive signal processing; delta operator; lightly damped low-frequency poles; local convergence speed; recursive gradient algorithm; simulations;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319542
