Sentence examples for enhancement constraints from inspiring English sources

Examining the pure component maps and corresponding signature spectra shows that image (Figs. 9, 10) and spectral (Figs. 11, 12) contrast enhancement constraints lead to complimentary results.

The component spectral enhancement constraint maximizes the difference between the pixel contributions and thus provides a better separation of the paint layers and a more direct information of the composition of the paints instead of paint ingredients.

CdS is common to both red and yellow pigments which is why MCR-ALS, when used with the spectral enhancement constraint, sees it as a singular component (component 3) which can be misleading.

The spectral enhancement constraint maximizes the difference between the signature spectra of the different components and provides a better separation of the pure or co-precipitated compounds in the paints.

The NMR solution structure of the 51 residue pheromone Er-23 from the ciliated protozoan Euplotes raikovi (E r) was calculated with the torsion angle dynamics program DYANA from 582 nuclear Overhauser enhancement (NOE) upper limit distance constraints, 46 dihedral angle constraints and 30 disulfide bond constraints.

This paper proposes a new speech enhancement (SE) algorithm utilizing constraints to the Wiener gain function which is capable of working at 10 dB and lower signal-to-noise ratios (SNRs).

The underlying constraints and enhancements are discussed in connection with various players involved in the process, as well as the emerging social concerns of designers.

This lends further support to the conclusion that evolutionary constraint on enhancement activity leads to preservation of the binding site motif [ 24].

In a face-to-face comparison of the two post-processing algorithms, we show that localization-based super-resolution can deliver higher resolution enhancements but imposes significant constraints on the blinking behavior of the probes, which limits its applicability for live-cell imaging.

We are working on a better way to combine the intensity constraint with local enhancement method.

Hence, sparsity is an effective constraint for performance enhancement where there is no intimation about the required number of hidden layers in DBM and the amount of hidden units required in successive layers while creating an optimal deep network that efficiently discovers interesting structures embedded in the input data.