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The decoding module extracts the sequence of glosses and synchronization information from the encoded LIBRAS stream.

The "Video Rebuild Module" extracts the successful received H.264/AVC NALUs and writes them back to an H.264/AVC data file, which is further decoded by an H.264 decoder.

This module extracts the probability π of starting at the word ω and the probability P(ω j |ω i ) of transitioning from the word ω i to the word ω j using a training dataset of sentences assigned to the motion symbols.

This analysis module extracts the GO annotations according to the molecular function, biological process and cellular component ontologies.

The CNV module extracts the read coverage from the alignments and plots the coverage across the genome.

The COV module extracts the coverage for each cytosine from post-alignment data (i.e., CGmap) and generates reverse cumulative plot for methylation sites by the genomic contexts (CG, CHG and CHH, H refers to A, C, or T).

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These modules extract the amino acid composition of the whole profiles, the amino acid composition of N-terminal and C-terminal profiles, the amino acid composition of profile segments and the dipeptide composition of the whole profiles.

Feature extraction module extracts a suitable combination of the higher order moments up to eighth, higher order cumulants up to eighth and instantaneous characteristics of digital modulations.

The feature extraction module extracts 10 ECG morphological features and one timing interval feature.

The feature-extraction module extracts informative low-level visual features (e.g., oriented edges) from a local region of the multi-scale representation.

By using depth video and multiview texture video, the SVA-based ROI extraction module efficiently extracts the semantic ROI mask for MVC codec.

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