Footprint removal
نویسندگان
چکیده
منابع مشابه
Report 4 Acquisition Footprint Removal by Least Squares Migration
Least squares migration (LSM) is applied to synthetic data with the purpose of removing the ”acquisition footprint” noise from migrated sections. Results for simple point scatterer and meandering stream channel models suggest that LSM can significantly attenuate the acquisition footprint noise. For comparison, the corresponding Kirchhoff migrated sections show noticeable artifacts due to a coar...
متن کاملRecording Footprint Noise Removal by 3-D Least Squares Migration
Least squares migration (LSM) is applied to 3-D synthetic data in order to test the feasibility of removing the ”recording footprint” noise from migrated sections. The LSM algorithm is implemented with a conjugate gradient algorithm. Results for simple point scatterer and meandering stream channel models suggest that LSM can significantly attenuate the recording footprint noise. For comparison,...
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One of the most efficient ways of generating goal-directed walking motions is synthesising the final motion based on footprints. Nevertheless, current implementations have not examined the generation of continuous motion based on footprints, where different behaviours can be generated automatically. Therefore, in this paper a flexible approach for footprint-driven locomotion composition is pres...
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Global warming is accelerating and the world urgently needs a shift to clean and renewable energy. Hydropower is currently the largest renewable source of electricity, but its contribution to climate change mitigation is not yet fully understood. Hydroelectric reservoirs are a source of biogenic greenhouse gases and in individual cases can reach the same emission rates as thermal power plants. ...
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ژورنال
عنوان ژورنال: Preview
سال: 2019
ISSN: 1443-2471,1836-084X
DOI: 10.1080/14432471.2019.1605645