A New Approach of Extended Chirp Scaling Algorithm for High Squint Missile-Borne SAR Data Processing

Author(s):  
Zhou Qiang ◽  
Qu Chang-wen ◽  
Su Feng ◽  
Wang Ying
2010 ◽  
Vol 32 (11) ◽  
pp. 2655-2660
Author(s):  
Yun-kai Deng ◽  
Xiao-xue Jia ◽  
Jin Feng ◽  
Wei Xu
Keyword(s):  

2011 ◽  
Vol 33 (6) ◽  
pp. 1453-1458 ◽  
Author(s):  
Zhong-yuan Xiao ◽  
Hua-ping Xu ◽  
Chun-sheng Li
Keyword(s):  

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.


2011 ◽  
Vol 8 (6) ◽  
pp. 1036-1040 ◽  
Author(s):  
Guangcai Sun ◽  
Mengdao Xing ◽  
Yong Wang ◽  
Yufeng Wu ◽  
Yirong Wu ◽  
...  
Keyword(s):  

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