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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Transactions on Broadcasting
Article . 2008 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Robustness Mode Detection Algorithm in the DRM System

Authors: Lin Zeng; Peng Zhang; Shuzheng Xu; Huazhong Yang;

Robustness Mode Detection Algorithm in the DRM System

Abstract

To extract parameters of the received signal correctly in the digital radio mondiale (DRM) system, robustness mode detection must be accomplished in time domain. Based on the cyclic prefix (CP), this paper presents a robustness mode detection algorithm in the DRM system. Using the system parameters of each robustness mode separately, the linear-weighted correlation and global maximum correlation-value searching algorithm is applied to detect the robustness mode. Simulations show that the proposed correlation operation in the presented algorithm has a better detection performance than the other correlation operations, making the algorithm accurate under flexible parameter choice. The proposed algorithm overcomes the disadvantage of the existing algorithms that can not detect the mode A signal, and the detection accuracy can exceed 99% for each mode at signal-noise-ratio (SNR) no less than 8 dB. When SNR decreases to 0 dB, the accuracy can also achieve 97%.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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