A wideband spectrum sensing approach based on sub-band matching selection
Dianxin kexue, 2016 Wideband spectrum sensing technology based on compressed sensing can effectively reduce the high sampling rate and the complexity of spectrum sensing.During the sensing process,in order to enhance the reconstruction performance of the spectrum signal,a ...
Yuzhi YAN +4 more
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Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio
Future Internet, 2019 In order to ease the conflict between the bandwidth demand of high-rate wireless communication and the shortage of spectrum resources, a wideband spectrum sensing method based on reconfigurable filter bank (RFB) with adjustable resolution is presented ...
Huan Wang +3 more
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From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals [PDF]
, 2009 Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. In this paper, we consider the challenging problem of blind sub-Nyquist sampling of multiband signals, whose unknown frequency support ...
Eldar, Yonina C., Mishali, Moshe
core +6 more sources
Sensors, 2020 For wireless communication networks, cognitive radio (CR) can be used to obtain the available spectrum, and wideband compressed sensing plays a vital role in cognitive radio networks (CRNs).
Yuan Fang +4 more
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Wideband spectrum sensing based on advanced sub-Nyquist sampling structure
EURASIP Journal on Advances in Signal Processing, 2022 As the bandwidth increases, the high-speed sampling rate becomes the bottleneck for the development of wideband spectrum sensing. Wideband spectrum sensing with sub-Nyquist sampling attracts more attention and modulated wideband converter (MWC) is an ...
Xue Wang, Qian Chen, Min Jia, Xuemai Gu
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Photonics-enabled sub-Nyquist radio frequency sensing based on temporal channelization and compressive sensing [PDF]
, 2014 A novel approach to sensing broadband radio frequency (RF) spectrum beyond the Nyquist limit based on photonic temporal channelization and compressive sensing is proposed.
Gomes, Nathan J., Wang, Chao
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A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum
Sensors, 2022 The vast majority of existing sub-Nyquist sampling wideband spectrum sensing (WSS) methods default to a sparse spectrum. However, research data suggests that in the near future, the wideband spectrum will no longer be sparse.
Shiyu Ren +4 more
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Guest editorial for the special issue on software-defined radio transceivers and circuits for 5G wireless communications [PDF]
, 2016 Yichuang Sun, Baoyong Chi, and Heng Zhang, Guest Editorial for the Special Issue on Software-Defined Radio Transceivers and Circuits for 5G Wireless Communications, published in IEEEE Transactions on Circuits and Systems II: Express Briefs, Vol.
Chi, Baoyong, Sun, Yichuang, Zhang, Heng
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Gerschgorin disk theorem based spectrum sensing for wideband cognitive radio
Tongxin xuebao, 2014 Gerschgorin disk theorem (GDT) based wideband spectrum sensing methods, namely Gerschgorin likelihood estimate(GLE) algorithm and Gerschgorin disk radii iteration(GDRI) algorithm, were proposed for cognitive radios.
Bin SHEN +3 more
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Refractory Status Epilepticus Treated With Bilateral Pulvinar Deep Brain Stimulation—A Case Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT New‐onset refractory status epilepticus (NORSE) arises without an identifiable cause or prior epilepsy history, with a 16%–27% mortality rate and significant long‐term neurological sequelae. Neuromodulation such as deep brain stimulation (DBS) targeting the anterior and centromedian thalamic nuclei has shown promise when the traditional ...
Mengxuan Tang +16 more
wiley +1 more source