Sentence examples for architecture computes the from inspiring English sources

The proposed 1-D DWT architecture computes the wavelet lowpass and highpass output sequences using the lowpass filter architecture alone, whereas the conventional architectures compute the lowpass and highpass output sequences using both lowpass and highpass filter architectures.

This means that every maximum of 1 min, the proposed architecture computes the predicted 16PF traits and, knowing that personality traits usually change over larger periods of time, this makes our approach suitable for real-time monitoring as well as offers the advantages of being faster and easier to assess the 16PF traits than the 16PF questionnaire.

Of the two architectures presented, the pipeline architecture computes keystream at uniform rate and the parallel architecture bounds the worst-case variance in the time period between computations of consecutive output key words, which form the keystream.

The proposed architecture computes three DWT stages and uses four parallel filters.

This approach has been implemented on a client/server architecture that computes the slices on the geometry side.

This paper proposes a new architecture that computes the DCT, based on the difference between pixels of two rows, and also, it reduces the computations and power consumption of DCT.

To overcome this limitation, we adopted a rule-based comparison shopping framework using the eXtensible Rule Markup Language (XRML) architecture, which computes the exact personalized delivery cost at comparison sites.

An efficient computational architecture to compute the resource allocation corresponding to a subset of these policies is presented in the following subsection.

Figure 2B presents the hotspot architecture computed using a LOD threshold of 4.93 that aims to control GWER ≤ 0.05 for spurious hotspots of size 50.

Figure 1 shows the results for the Q- and N-methods for simulated example 1, using α = 0.05. Figure 1A shows the hotspot architecture computed using a single-trait LOD threshold of 3.65; i.e., at each genomic location the plot shows the number of traits with LOD score >3.65.

Whenever a new subject's data are applied to the input of the DNN end-to-end architecture, the latter computes the respective internal representations and provides a prediction at its output.