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- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Stein, M.; Lenz, A.; Nossek, J.
- Titel:
- Optimum Analog Receive Filters for Detection and Inference Under a Sampling Rate Constraint
- Abstract:
- The problem of optimum analog receive filtering for digital signal detection and parameter estimation is considered. Here the case of a signal source with bandwidth Bt and a receiver with fixed sampling rate fs is discussed under the assumption that 2Bt > fs. We investigate the impact of adjusting the receive bandwidth Br of the analog pre-filter, which is applied prior to the sampler, with respect to the deflection coefficient or the Fisher information measure. This reveals that the design rule 2Br < fs, known as the sampling theorem, does not necessarily lead to optimum system performance. Studying the two analytical information measures under a fix sampling rate fs and an arbitrary choice of Br, we provide an example where receive setups with 2Br > fs achieve higher detection and parameter estimation performance.
- Kongress- / Buchtitel:
- IEEE Int. Conf. Acoustic, Speech and Signal Processing (ICASSP)
- Jahr:
- 2014
- Reviewed:
- ja
- WWW:
- http://ieeexplore.ieee.org/document/6853914/
- Copyright Informationen:
- This work is copyrighted by the IEEE. 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 to servers or lists, or to reuse any copyrighted.component of this work in other works must be obtained from the IEEE.
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