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We also adjust bits by multiplying the corresponding bits by a factor, β (>1), in cost function determination to restrict some MBs to be classified as RMBs where the MBs are poorly matched with the best pattern.
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Mizui et al. proposed a vehicle-to-vehicle communication and ranging system by multiplying the bit information to the spread spectrum (SS) code and measuring the phase shift of the SS code [9].
Each nominal data rate is found by multiplying the coding rate, bits per symbol, and the number of symbols per second.
Because the PN sequences are orthogonal, even if each delay contains N bits from N different nodes, by multiplying every node ID in the WSN and the received delays together the BS can retrieve the node IDs in the packet path.
Therefore, the payload is computed by multiplying number of frames per second by the bit capacity of the frame.
Obviously, making the MSE ratio towards 1 (i.e., the MSE for the pattern mode is the same as that of other modes) by finer quantization and keeping the bit requirement at its lowest level by multiplying with β for the pattern mode would be the desirable case to improve overall rate-distortion performance.
Small improvements in the design of a memory bit multiplied by the large number of bits on a chip can make a big difference in chip cost and performance.
To scale for this, we multiply the 2 bits by the probability that the nucleotide call is correct, given the quality score.
Multiply the number by the product price.
In fact, the simplest way is to multiply the pattern number by the value represented by one binary bit.
Multiply the whole number by the denominator.
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