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Prior to ERP data analysis, all trials containing eye artifacts were corrected using a blind component separation [50].
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In this paper, we extract the various seasonal deformations from GPS time series of 17 stations in the Nepal Himalaya region using a blind source separation tool, the Independent Component Analysis (ICA).
The effects of non-calibration are avoided and signal components are separated using a blind separation technique [7, 12, 13].
All analyses were done using a blind procedure.
The study was conducted using a double-blind design.
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We use a single blind peer review format.
We used a double blind design.
We used a double blind procedure throughout the experiment.
We will use a double blind randomized parallel design.
This paper reports a new blind component separation (BCS) method for extracting different mechanical fault features.
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