On implementation and design of filter banks for subband adaptive systems

Weiss, S. and Harteneck, M. and Stewart, R.W.; Manolakos, E.S. and Chandrakasan, A. and Chen, L.G. and Burleson, W.P. and Konstantinides, K., eds. (1998) On implementation and design of filter banks for subband adaptive systems. In: 1998 IEEE Workshop on Signal Processing Systems. SIPS 98. IEEE Workshop on Signal Processing Systems (SIPS) . IEEE, USA, pp. 172-181. ISBN 0780349970 (https://doi.org/10.1109/SIPS.1998.715780)

[thumbnail of weiss98e.pdf]
Preview
PDF. Filename: weiss98e.pdf
Final Published Version

Download (530kB)| Preview

Abstract

We introduce a polyphase implementation and design of an oversampled K-channel generalized DFT (GDFT) filter bank, which can be employed for subband adaptive filtering, and therefore is required to have a low aliasing level in the subband signals. A polyphase structure is derived which can be factorized into a real-valued polyphase network and a GDFT modulation. For the latter, an FFT realization may be used, yielding a very inexpensive polyphase implementation for arbitrary integer decimation ratios N les;K. We also present an analysis underlining the efficiency of complex-valued subband processing. The design of the filter bank is completely based on the prototype filter and solved using a fast converging iterative least squares method, for which we give examples, The design specifications closely correspond with performance limits of subband adaptive filtering, which are underpinned by simulation results.