Title :
Highly parallel adaptive filter
Author :
Starzyk, Janusz A. ; Eshghi, Mohammad
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
Abstract :
A parallel algorithm for digital adaptive filters is introduced. The algorithm is a look-ahead realization of a transversal filter, which uses a forgetting factor to diminish the effect of the past errors in the performance index. The authors illustrate how such an algorithm can be implemented in a regular and modular structure suitable for VLSI implementation. The maximum sampling rate is limited by the time it takes to add two binary inputs. If the input signal has a sampling rate lower than the maximum sampling rate, then the architecture can be tailored to minimize the hardware costs
Keywords :
VLSI; adaptive filters; digital filters; filtering and prediction theory; parallel processing; VLSI implementation; digital adaptive filters; forgetting factor; look-ahead realization; maximum sampling rate; modular structure; parallel algorithm; regular structure; transversal filter; Adaptive filters; Estimation error; Frequency; Hardware; Parallel algorithms; Parallel processing; Performance analysis; Sampling methods; Transversal filters; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100793
