Non-intrusive Variability Analysis of Large Circuits with Parallelism in the Stochastic Space and Time-Domain

2020 ◽  
Author(s):  
Y. Tao ◽  
B. Nouri ◽  
F. Ferranti ◽  
M. Nakhla ◽  
K. Guo
Keyword(s):  
Time Domain ◽  
Variability Analysis ◽  
Space And Time ◽  
Stochastic Space

scholarly journals Heart rate variability: Analysis of time-domain indices in patients with chronic Chagas disease before and after an exercise program

2013 ◽  
Vol 32 (3) ◽  
pp. 219-227 ◽  
Author(s):  
Marcus Vinicius Amaral da Silva Souza ◽  
Carla Cristiane Santos Soares ◽  
Juliana Rega de Oliveira ◽  
Cláudia Rosa de Oliveira ◽  
Paloma Hargreaves Fialho ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Chagas Disease ◽  
Time Domain ◽  
Exercise Program ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
Before And After ◽  
Chronic Chagas Disease

scholarly journals Year 1 of the Legacy Survey of Space and Time (LSST): Recommendations for Template Production to Enable Solar System Small Body Transient and Time Domain Science

2021 ◽  
Vol 5 (6) ◽  
pp. 143
Author(s):  
Megan E. Schwamb ◽  
Mario Jurić ◽  
Bryce T. Bolin ◽  
Luke Dones ◽  
Sarah Greenstreet ◽  
...  
Keyword(s):  
Solar System ◽  
Time Domain ◽  
Small Body ◽  
Space And Time

2-D Spectrum Imaging Algorithm for Hybrid Spaceborne-Airborne Bistatic SAR Based on Space and Time Domain Expansion

2012 ◽  
Vol 500 ◽  
pp. 522-528
Author(s):  
Wei Ye ◽  
Xiao Ling Zhang ◽  
Yue Yang
Keyword(s):  
Theoretical Analysis ◽  
Time Domain ◽  
Mixed Method ◽  
The Other ◽  
Imaging Algorithm ◽  
Space And Time ◽  
Bistatic Sar ◽  
Character Study ◽  
Traditional Algorithm ◽  
Spectrum Imaging

In this paper, a new 2-D spectrum focusing algorithm for hybrid spaceborne-airborne bistatic SAR based on space and time domain expansion is proposed. In order to obtain 2-D spectrum, the most of frequency domain algorithm is based on expanding the range history in time domain, but this method can’t represent the spatial characters of scatterer directly; on the other hand, the expansion of range history in space domain doesn’t good to get 2-D spectrum by the principle of stationary phase (PSP). Comparing with traditional algorithm, the algorithm proposed in this paper integrates methods of space and time domain expansion. This mixed-method has advantages that will both represent the spatial character of scatterer directly and get 2-D spectrum by PSP conveniently. It is very beneficial to theoretical analysis and spatial character study of bistatic SAR which has spatial variant characteristic. The validity of algorithm is confirmed through the simulated results.

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