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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2017

28.05.2017

HRS: A Robust Compressed Sensing Arithmetic in Wireless Equipment Acoustic Signal Test

verfasst von: Changjian Deng, Dongyi Chen

Erschienen in: Wireless Personal Communications | Ausgabe 1/2017

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Abstract

The wireless equipment acoustic signal compressed sampling has advantages of using less hardware and being robust in the noisy environment. But the major challenges of the wireless acoustic signal compressed sampling are their property of the real time sampling and their constraint of the limited communication resource. The paper designs a new robust compressed sensing arithmetic HSR which uses the hard threshold value to sample interruptly and uses the feature parameters of signal to recover signal. This method is easy to realize, Meanwhile simulation results show that HRS arithmetic is effective and robust.
Vorheriger Artikel Vertical Response Microstrip Lowpass Filter Using Stepped Impedance Lines and Radial Resonators
Nächster Artikel Computational Efficient SLM–OFDM Receiver for Time-Invariant Indoor Fading Channel

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Metadaten
Titel
HRS: A Robust Compressed Sensing Arithmetic in Wireless Equipment Acoustic Signal Test
verfasst von
Changjian Deng
Dongyi Chen
Publikationsdatum
28.05.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4528-1

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