Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1502-228
Abstract
We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using fixed pole filter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of fixed poles, the algorithm convergences faster and less parametric complexity is provided when compared to direct adaptive Hammerstein algorithms with IIR and FIR linear blocks.
Keywords
Nonlinear adaptive filters, Hammerstein block structure, generalized orthonormal basis functions, acoustic echo cancellation, convergence analysis
First Page
939
Last Page
949
Recommended Citation
ONUR, TUĞBA ÖZGE and HACIOĞLU, RIFAT
(2017)
"Nonlinear acoustic echo cancellation using an adaptive Hammerstein block structure based on a generalized basis function,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25:
No.
2, Article 22.
https://doi.org/10.3906/elk-1502-228
Available at:
https://journals.tubitak.gov.tr/elektrik/vol25/iss2/22
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
