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First, the number of bits needed to encode the run value is arithmetically encoded (with a different context).
Just how much information is what determines the string's "entropy," essentially the minimum number of bits needed to encode the string.
If the temporal mask mean is above the noise mean, then the amount of bits needed to encode that sub-band FDLP residual signal is reduced in such a way that the noise level becomes similar to the masking threshold.
To this length, we add the number of bits needed to encode the parameters of each distribution.
In practice, we estimate at log(i) the number of bits needed to encode the integer i (we refer to, e.g., [ 4] for reasons that legitimate this choice).
The entropy can be interpreted as the uncertainty of which residue we would encounter at the site if we randomly draw a sequence from the MSA, where uncertainty here is mathematically quantified by the number of bits needed to encode the information on average.
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How many bits are needed to encode "duke blue devils" and how does it compare to using ASCII 8 bit codes?
Furthermore, as the QP values of different macroblocks in the proposed HRMIR approach are not identical, additional bits are needed to encode the residual QP value.
This optimization process is based on the minimization of a Lagrangian cost function that evaluates the distortion produced and the bit-rate needed to encode each coding unit.
The number of bits that are needed to encode the difference time of between samples for different timer resolutions 1 T C is shown in Table 1.
The SNR of the reconstructed signal versus the precision of the time quantizer 1 T C for different over sampling rates is shown in Figure 9. Similarly to Table 1, the number of bits that are needed to encode the difference time between samples for different timer resolutions 1 T C is shown in Table 2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com