Sentence examples for steps are generalized from inspiring English sources

The mathematical expressions of these two steps are generalized into Figure 3 Theoretical frame of the matching process in the viewpoint of pattern recognition.

In this section, we present the different steps and show how they are generalized to deal with both acoustic and visual components.

The different synthesis steps are similar to typical concatenative speech synthesis but are generalized to the acoustic-visual domain.

But the expressions are generalized.

They are generalized, distilled and abstracted.

Some known results are generalized.

The above tips are generalized.

This step can be generalized by the application of all moment generating functionals, yielding q − n − 1 ( a K n ( f Ω ) + b q − 2 K n + 2 ( f Ω ) ) = c K n ( f Ω ) + d K n + 2 ( f Ω ) + e K n + 4 ( f Ω ).

You are generalizing and making an assumption.

In the spreading step, (B), this result is generalized so as to get conclusion (C).

We assume that each mobile node has the same candidate set of directions that it can move at a given time step (however, this assumption can be generalized to have different candidate sets for different mobile nodes).