Title :
New adaptive IIR lattice filters: input injected lattice
Author :
Liu, X.Q. ; Fan, H. ; Miao, K.X.
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
A family of adaptive IIR lattice algorithms based on the input injected lattice structure is proposed. This includes the input injected lattice SHARF and Stearns´ algorithms, and the ELS algorithm for the ARMAX model. The corresponding normalized input injected lattice algorithms are also developed. Simulation results show that they converge faster than the direct form algorithms and the tapped lattice algorithms
Keywords :
adaptive filters; convergence of numerical methods; digital filters; least squares approximations; statistical analysis; ARMAX model; ELS algorithm; SHARF algorithm; Stearns algorithm; adaptive IIR lattice filters; convergence; extended least square algorithm; input injected lattice structure; Adaptive filters; Delay effects; Equations; IIR filters; Lattices; Monitoring; Polynomials; Prediction algorithms; Stability; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226449
