Sensors, Vol. 19, Pages 4222: Analysis of Spectral Sensing Using Angle-Time Cyclostationarity
Sensors, Vol. 19, Pages 4222: Analysis of Spectral Sensing Using Angle-Time Cyclostationarity Sensors doi: 10.3390/s19194222 Authors: Pedro Souza Vinicius Souza Luiz F. Silveira This work presents a novel spectral sensing method for the detection of signals presenting nonlinear phase variation over time. The introduced method is based on the angle-time cyclostationarity theory, which applies transformations to the signal to be sensed in order to mitigate the effects of nonlinear phase variation. The architecture is employed for sensing binary phase shift keying (BPSK) signals, being also compared with time cyclostationarity. The obtained simulation results clearly demonstrate the efficiency of the proposed approach, while presenting improved performance in terms of the detection rate of primary users increased by about 8 dB.
Publication date: Available online 20 November 2019Source: Journal of Advanced ResearchAuthor(s): Sohail Mumtaz, Pradeep Bhartiya, Neha Kaushik, Manish Adhikari, Pradeep Lamichhane, Su-Jae Lee, Nagendra Kumar Kaushik, Eun Ha ChoiAbstractOver the past few decades, microwave (MW) radiation has been widely used, and its biological effects have been extensively investigated. However, the effect of MW radiation on human skin biology is not well understood. We study the effects of pulsed high-power microwaves (HPMs) on melanoma (G361 and SK-Mel-31) and normal human dermal fibroblast (NHDF) cells. A pulsed power generator (Chundo...
Passive measles immunity waned quickly, and most infants were no longer protected from measles by age 3 months, a study found; US experts say the age of vaccination should remain the same.Medscape Medical News
Suresh K. Mukherji
SURESH K. MUKHERJI, MD, MBA, FACR
NEUROIMAGING CLINICS OF NORTH AMERICA
Resting state functional connectivity (RSFC) has been widely studied in functional magnetic resonance imaging (fMRI) and is observed by a significant temporal correlation of spontaneous low-frequency signal fluctuations (SLFs) both within and across hemispheres during rest. Different hypotheses of RSFC include the biophysical origin hypothesis and cognitive origin hypothesis, which show that the role of SLFs and RSFC is still not completely understood. Furthermore, RSFC and age studies have shown an “age-related compensation” phenomenon. RSFC data analysis methods include time domain analysis, seed-based correl...
ConclusionLL/MLD4, MLA, MLD, the degree of luminal diameter stenosis, CCO, RI, and %APV derived from cCTA can support the detection of hemodynamically significant coronary stenosis as compared with iFR®, with LL/MLD4 showing the greatest discriminatory power.
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