Research of Micro-seismic Signal Extraction Method Based on Rough Set

2010 ◽  
pp. 675-682
Author(s):  
Chang-peng Ji ◽  
Mo Gao
Keyword(s):  
Rough Set ◽  
Extraction Method ◽  
Seismic Signal ◽  
Signal Extraction

A Novel Data-Driven Cardiac Gating Signal Extraction Method for PET

2019 ◽  
Vol 38 (2) ◽  
pp. 629-637 ◽  
Author(s):  
Tao Feng ◽  
Jizhe Wang ◽  
Yun Dong ◽  
Jun Zhao ◽  
Hongdi Li
Keyword(s):  
Extraction Method ◽  
Data Driven ◽  
Signal Extraction ◽  
Cardiac Gating

Building a Surveillance Framework for Currency Crises in Indonesia

2019 ◽  
pp. 718-739
Author(s):  
Dimas Bagus Wiranatakusuma ◽  
Ricky Dwi Apriyono
Keyword(s):  
Early Warning System ◽  
Extraction Method ◽  
Currency Crises ◽  
Real Exchange Rates ◽  
Financial System ◽  
Warning System ◽  
Signal Extraction ◽  
Open Position ◽  
Market Pressure ◽  
Domestic Inflation

There seems to be no single country that can escape from currency crises. This paper aims to answer: (i) How to determine exchange market pressure (EMP)? and (ii) To what extent the contribution of selected indicators to the prediction of currency crises?. The study adopts indicators developed by Kaminski, et.al (1999) by using signal extraction method as the early warning system (EWS) mechanism. By employing four selected variables, International reserve, real exchange rates, credit growth, and domestic inflation, the findings suggest the periods of crises fluctuated over the observations under various thresholds. The EMP touched the Kaminsky's line only during the Asian and global financial crises. Meanwhile, the Garcia's, Park's and Lestano's line was passed through frequently over the observations, and it implies that the financial system was cyclically under shocks. In conclusion, the currency crises frequently appear attacking Indonesia's financial system so that need to be mitigated by net open position (NOP) as macroprudential instrument.

New small‐signal extraction method applied to GaN HEMTs on different substrates

2020 ◽  
Vol 30 (9) ◽  
Author(s):  
Mohamad Al Sabbagh ◽  
Mustapha C. E. Yagoub ◽  
Jeongwon Park
Keyword(s):  
Extraction Method ◽  
Signal Extraction ◽  
Small Signal ◽  
Gan Hemts

scholarly journals An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Chao Huang ◽  
Xin Xu ◽  
Dunge Liu ◽  
Wanhua Zhu ◽  
Xiaojuan Zhang ◽  
...  
Keyword(s):  
Blind Source Separation ◽  
Extraction Method ◽  
Field Experiments ◽  
Signal To Noise Ratio ◽  
Source Separation ◽  
Low Frequency ◽  
Signal Extraction ◽  
Magnetic Noise ◽  
Communication Signals ◽  
Low Snr

It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals under the condition of low SNR (the signal-to-noise ratio). In this paper, we analyze the numerical characteristics of the low-frequency magnetic field and propose the algorithms of the fast optimization of blind source separation (FOBSS) and the frequency-domain correlation extraction (FDCE). FOBSS is based on blind source separation (BSS). Signal extraction of low SNR can be implemented through FOBSS and FDCE. This signal extraction method is verified in multiple field experiments which can remove the magnetic noise by about 25 dB or more.

Research of Text Topic Automatic Extraction Method Based on Rough Set Theory

2011 ◽  
Vol 268-270 ◽  
pp. 1127-1131 ◽  
Author(s):  
Zhan Feng Sun ◽  
Kong Jun Bao
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Extraction Method ◽  
Rough Set Theory ◽  
Complete Information ◽  
Text Clustering ◽  
Automatic Extraction ◽  
Similarity Matrix ◽  
Topic Extraction ◽  
Automatic Abstracting

On the base of researching currently popular text topic extraction technologies, a new text topic automatic abstracting method is proposed based on rough set theory and rough similarity. Firstly it separated a text into words and sentences to complete information segmentation, and then constructed a similarity matrix by computing the rough similarity between different words to realize the text clustering, finally extracted representative sentences from each class to generate the text topic. The experiment shows that the method is feasible and effective.

Large-signal extraction method for GaAs and InP HEMT diodes

2002 ◽  
Author(s):  
D. Schreurs ◽  
S. Herrebout ◽  
B. Nauwelaers ◽  
W. De Raedt ◽  
Y. Baeyens ◽  
...  
Keyword(s):  
Extraction Method ◽  
Signal Extraction ◽  
Large Signal ◽  
Inp Hemt

A Study to Determine the Robustness of Reference Signals for BSSR Signal Extraction Method

2007 ◽  
Author(s):  
Y. Kimura ◽  
T. Netabayashi ◽  
T. Ito ◽  
S. Jafar ◽  
S. Chida ◽  
...  
Keyword(s):  
Extraction Method ◽  
Signal Extraction ◽  
Reference Signals
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