Title :
A pipelined adaptive lattice filter architecture
Author :
Shanbhag, N.R. ; Parhi, K.K.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
The stochastic gradient adaptive lattice filter is pipelined by the application of the relaxed look-ahead. This form of look-ahead maintains the functional behavior instead of the input-output mapping. The sum and product relaxations are employed to pipeline the lattice filter. The hardware complexity of the proposed pipelined filter is of the same order as the sequential filter. Thus, the new architecture is attractive from an implementation point of view. Convergence analysis is carried out to illustrate the trade-off offered by relaxed look-ahead. Linear prediction of a speech signal is used as a simulation example
Keywords :
adaptive filters; convergence; digital filters; filtering and prediction theory; pipeline processing; speech analysis and processing; convergence analysis; hardware complexity; linear prediction; pipelined adaptive lattice filter architecture; product relaxations; relaxed look-ahead; simulation; speech signal; stochastic gradient adaptive lattice filter; sum relaxation; Adaptive filters; Concurrent computing; Digital signal processing; Lattices; Least squares approximation; Pipeline processing; Predictive models; Signal processing; Speech processing; Stochastic processes;
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.1992.230555