Sentence examples for processing we need from inspiring English sources

Obviously for the fast processing we need the optical TALU compatible with the multivalued logic.

To remedy the beam pattern distortion caused by adaptive processing, we need to reduce the perturbation of adaptive weights to the quiescent weight settings.

However, in order to take advantage of DFT processing, we need to formulate a block-by-block processing algorithm which will operate on a block of symbols at a time.

To interfere with this type of visual processing we need to target what are known cognitively as 'visuospatial' resources [19].

To understand reward processing, we need to study neuronal signals for these objects.

To distinguish between an anticipatory vs. an "on-demand" view of mentalizing in common ground processing, we need to establish when mentalizing is engaged in relation to language processing (see Fig.  1, Panel B).

In contrast if verbal and nonverbal audiovisual object matching depend on different types of semantic processing then we need to consider the results of previous studies that compared verbal and nonverbal semantic/conceptual processing.

However, to maximize the spatial processing gains we need to use as much as possible of the available UTs' channel row vector subspaces.

For the maximum likelihood inverse filtering-based dereverberation (MLIFD) features that use FMLLR transform, we only use full batch processing, since we need to compute the FMLLR transform for the speaker from all the utterances of the speaker in the room.

For efficient processing of queries, we need to ensure that memory usage stays low.

As a pre-processing step, we needed to transform the commuting flows from the census tract level provided by the U. S. Census Bureau to one of the two levels supported by the BARD simulator: zip code, or block group.