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Efficient filterbank channelizers for software radio receivers

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2 Author(s)
Zangi, K.C. ; Ericsson Inc., Research Triangle Park, NC, USA ; Koipillai, R.D.

For cellular software radio receivers, this paper presents a computationally efficient algorithm for extracting individual radio channels from the output of the wideband A/D converter. In a software radio, the extraction of individual channels from the output of the wideband A/D converter is by far the most computationally demanding task; hence, it is very important to devise computationally efficient algorithms for this task. Our algorithm is obtained by modifying the DFT filter bank structure that is well known in the multi-rate signal processing literature. We show that the complexity of the proposed algorithm is significantly less (2X-50X) than the complexity of the conventional channelizers

Published in:

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on  (Volume:6 )

Date of Conference:

12-15 May 1998

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