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

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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.

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Acknowledgements

This article is supported by China–Canada Joint Research Project (Project Number: 2009DFA12100) and Major Project of Education Department in Sichuan (14ZA0172).For support, contributions to discuss we would like to thank the rest of MCC (mobile computer center) of UESTC.

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Authors and Affiliations

  1. Chengdu University of Information Technology, Chengdu, China

    Changjian Deng

  2. University of Electronic Science and Technology of China, Chengdu, China

    Dongyi Chen

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  1. Changjian Deng
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  2. Dongyi Chen
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Correspondence to Changjian Deng.

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Deng, C., Chen, D. HRS: A Robust Compressed Sensing Arithmetic in Wireless Equipment Acoustic Signal Test. Wireless Pers Commun 97, 647–659 (2017). https://doi.org/10.1007/s11277-017-4528-1

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