A Study on Forecasting of Available Spectrum Resources for Sharing using Envelope Extraction

Author(s):  
Tatsuya Nagao ◽  
Takahiro Hayashi ◽  
Yoshiaki Amano
Keyword(s):  
2019 ◽  
Vol 58 (34) ◽  
pp. 9392
Author(s):  
Xiangyu Cui ◽  
Chunsheng Li ◽  
Yuhan Geng ◽  
Weijie Ge ◽  
Lingling Kan ◽  
...  

2017 ◽  
Vol 56 (31) ◽  
pp. 8584 ◽  
Author(s):  
Dongyu Li ◽  
Zan Huang ◽  
Wenhao Mo ◽  
Yan Ling ◽  
Zhenghe Zhang ◽  
...  

2012 ◽  
Vol 532-533 ◽  
pp. 702-707
Author(s):  
Zhao Yin ◽  
Jing Jin ◽  
Yan Wang ◽  
Yi Shen

The envelope extraction of Doppler signal spectrum is very important in ultrasonic blood flow detection, due to the fact that it can provide the diagnosis information of blood circulatory system. Doppler signals are often polluted by noises, which will affect the performance of the envelope extraction. Therefore, it is necessary to remove the noises before extracting the spectrum envelope. In this paper, a Doppler denoising method based on the Feature Adaptive Wavelet Shrinkage is proposed. The advantage of this method is that the threshold of each coefficient is set by using the coefficient at the current location and its two neighbor coefficients. Simulation results demonstrate that the proposed method can remove the noises of Doppler signals more effectively compared to the traditional wavelet threshold method.


2021 ◽  
pp. 265-272
Author(s):  
Evgeniia S. Sevasteeva ◽  
Sergei A. Plotnikov ◽  
Volodymyr Lynnyk

The brain is processing information 24 hours a day. There are millions of processes proceeding in it accompanied by various spectra of rhythms. This paper tests the hypothesis that the slow delta rhythm excites the gamma rhythm oscillations. Unlike other papers, we determine the slow rhythm spectrum not at the hypothesis stage but during the experiment. We design algorithms of filtering, envelope extraction, and correlation coefficient calculation for signal processing. Moreover, we examine the data on all electroencephalogram channels, which allows us to make a more reasonable conclusion. We confirm that a slow delta rhythm excites a fast gamma rhythm with an amplitude-phase type of interaction and calculate a delay between these two signals equal to about half a second.


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