Sentence examples for transformation we used from inspiring English sources

In this work, for non-linear feature transformation, we used DNN, which can suppress the reverberation and transform the original feature to a discriminative feature for reverberant speech.

To generate the spatial wavelet transformation, we used 3D Daubechies (D2) functions up to level 3.

Besides, in the tempering transformation, we used the originally defined masks instead of the loaded ones from a predefined file, with hexadecimal values in the bitwise operations.

When data did not meet normal distribution after transformation we used non parametric statistics.

If the data failed to meet conditions for parametric analyses, before and after transformation, we used non-parametric statistics.

After hybridization, ligation, and transformation, we used amplification of u-series universal primers and subsequent sequencing to identify the positive clones.

Using this transformation we use theoretical arguments to derive that these theorems contribute to achieving stability.

To study martensitic phase transformation we use a micromechanical model based on statistical mechanics.

For the identification of matched pairs and molecular transformations we used two chemical libraries, ChemDiv and EINECS, described below.

For cloning and transformations we used E. coli DH5α (Gibco, BRL).

For two dichotomous transformations we used the first tercile as the first cutpoint, and the second tercile as the second cutpoint, and so on.