Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918950
- Title
- Optimal design of hybrid filterbank analog-to-digital converters using input statistics
- Author/Creator
-
Marelli, Damian;
Mahata, Kaushik;
Fu, Minyue
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- The hybrid filterbank architecture permits implementing accurate, high speed analog-to-digital converters. However, its design is technically involved since perfect reconstruction of the desired samples cannot be achieved in general. In this paper we propose a design method which generalizes existing approaches by dropping the bandlimited assumption on the input signal. The design minimizes the power of the reconstruction error in the samples, for a given input signal power spectrum. We discuss the use of blind techniques to estimate the analysis filterbank parameters as well as the input power spectrum, and we present simulation results to demonstrate the clear advantage of the proposed design, even under input spectrum uncertainties.
- Relation
- 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings (Taipei, Taiwan 19-24 April, 2009) p. 3377-3380
- Publisher Link
- http://dx.doi.org/10.1109/ICASSP.2009.4960349
- Date
- 2009
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
analog digital conversion;
hybrid filter banks;
least mean square methods;
multichannel;
multirate systems;
sampling
- Resource Type
- conference paper
- Rights
- Copyright © 2009 IEEE. Reprinted from the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/918950
- Identifier
- ISBN:9781424423545
- Identifier
- ISSN:1520-6149
- Reviewed
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