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The coding rate is the number of real information bits divided by the total number of bits.
We define the number of correctly extracted bits divided by the number of all embedded bits as extraction rate.
Average throughput is defined as the number of correctly received bits divided by the total slots length (in seconds) which the node takes to transmit these bits correctly.
The overall BER (i.e., BERoverall) is the total number of erroneous bits divided by the total number of data bits which contains data of all pages.
Figure 3(c) shows the total number of received bits divided by the total consumed energy versus the topology update interval.
Since the JSteg algorithm does not use each DCT coefficient, the payload will in fact be measured in this paper as the number of bits hidden per usable coefficients (that is the number of bits divided by the number of AC coefficients that differ from 0 and 1).
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It expresses the number of bit errors per second divided by the total number of transferred bits.
E b /N o in the abscissa stands for the energy per information bit divided by the average noise power density.
As the weight on bit increases with depth, the contact stress (weight on bit divided by bit tooth contact area) increases, and thus the frictional heat increases.
The signal to noise ratio (SNR) is defined as the average received energy per information bit divided by σ 2 [17, 17].
Figure 15 shows the bit error rate (BER, the number of bit errors divided by the total number of bits transmitted) variation versus the energy per bit to the spectral noise density (E b /N 0 ) for the same distance of 10 m.
More suggestions(16)
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points divided by the
bits found by the
bits required by the
bits constructed by the
bits carried by the
bits generated by the
bits sent by the
bits shared by the
bits followed by the
bits delivered by the
bits assigned by the
bits covered by the
bits made by the
bits abetted by the
bits recorded by the
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Justyna Jupowicz-Kozak
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