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Afterwards, some data frames were generated in Matlab and downloaded to the vector signal generator.
These training frames were generated in Matlab and distorted by known MIMO channels.
The state labels for the frames were generated by the forced alignment of clean data with HVite command of HTK3.4 using the baseline GMM-HMM acoustic model.
It assumes that the sequence of acoustic feature vectors is a Gaussian process, and measures the likelihood that two consecutive acoustic frames were generated by two processes rather than a single process.
From these, realistic video frames were generated (for details, see the Supporting Information and Figure S1).
A total of 200 morphed frames were generated for each pair of images; each successive frame represented a 0.5% change from one image to the next.
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By accessing the static random access memory (SRAM), a lot of data frames are generated by the traffic generator according to the parameters configured by the user.
Fragility curves for the frames are generated corresponding to various code-specified performance levels.
In this fashion, full video frames are generated from simple line data that can be written to the VSB in a reasonable amount of time.
However, SI frames are generated well for slow-moving cases.
Two independent frames are generated in parallel, one for OFDM and one for CIA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com