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Under a more stringent procedure we trimmed the full filtered length reads (from above 40 85 nt) more robustly by trimming 10 nt from 5' end and 5 nt from 3' end of each read (25 70 nt length).
Under the normal trimming scheme we trimmed the 5' and 3' ends of the reads with quality scores of lower than 20 (or 0.01 probability of error), then we retained the reads between a minimum length of 40 nt and a maximum of 85 nt with no further trimming (full filtered length).
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Among these, full filtering operation means that overall branch filtering is implemented for the macroblock.
Sparse FIR filters have lower implementation complexity than full filters, while keeping a good performance level.
Note that Q=0 implies no filter update and Q=1 implies full filter update.
For full filter update, i.e., (underline {alpha } ell) = underline {1}), we obviously obtain ξ=1.
Hence, the SPU, FEA, and DEA schemes are almost always cheaper than full filter update.
In the following, the full filtering graph is named acoustic filter, while phonetic filters operate at the node level.
Instead, the PAPR should be measured during steady state operation of the system, ideally within a full filter length into the frame and concluding a full filter length before the end of the frame.
Then, the initial full filter is substituted for the subquery, and this reduced filter is used for the acoustic filtering achieved at the first level in our system.
The steady state section begins approximately a full filter length into the frame and ceases a filter length from the end of the frame.
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