Sentence examples for output sum from inspiring English sources

The output SUM of this full adder is implemented by Equation 4: SUM = Minority A, B, C, 2 * NAND A, B, C, 2 * NOR A, B, C (4).

It produces an output sum combination of convergent series of selected relative polynomial derivative terms, which can substitute for an ordinary differential equation solution to describe and forecast real data time-series.

If TP multiplier performs N bit multiplication, then its output sum (S) bits are from S0 to S15 as demonstrated in Figure 3, and when N/2 bit multiplication is performed, the output sum bits are from S0 to S7 and S8 to S15, i.e., twin output is taken as illustrated in Figure 4 and N = 8 for the illustrated example.

If the output sum for the online q runs exceeds the sum of outputs for the offline q runs, the adversary will guess that x 1>8; otherwise, his guess will be x 1≤8.

Bolme et al. [15] propose to learn a minimum output sum of squared error (MOSSE) filter for visual tracking on grayscale images, where the learned filter encodes target appearance with update on every frame.

As shown in Fig. 3, in this paper for designing NAND and NOR function, we calculate the output SUM by formula (5). Figure 2 Majority-not function Figure 3 Schematic of proposed adder.

Figure 9 shows the distribution of output sums across vote tallies for model logP3-3a, averaginging model with four hidden neurons that takes 28 descriptors as input.

If θ i t denotes the industrial composition showing the fraction of output of industry sector i of total production across all industries, and X d t denotes total industrial output summed over all industry sectors, the total amount of domestic production contributed by industry sector i in year t is then represented as θ i t × X d t (million yen).

The total counts output sums all reads that map to an individual repetitive element subfamily.

The unique counts output sums only reads that can be uniquely assigned to a single repetitive element subfamily, similar to the output of Day et. al. [ 13].

Thus, it has been predicted that the overall spike output summed across large neuronal populations serves as an indicator of stimulus strength (Laughlin & Sejnowski, 2003).