Your English writing platform
Discover LudwigExact(3)
Firstly, P is optimally vector-quantized using entropy-constrained unrestricted spherical quantization (ECUSQ [29] which minimizes the weighted mean square error (WMSE) between synthesized signals according to (9).
Entropy-constrained unrestricted spherical quantization.
The ECUSQ method was shown to obtain similar performance to that of the method described in[18] applied to spherical quantization with a better computational complexity (not iterative).
Similar(57)
It is once more important to note that application of Eq. (1) does not have limitations on the size of spherical nanoparticles since only the quantization energy of the hole is considered.
Based on spherical polar coordinates, a quantizer is proposed with a desired relation between the quantized data and the corresponding quantization error for this problem.
Based on spherical polar coordinates, a quantizer of infinite data rate is proposed with a definite relation between the quantized data and the corresponding quantization error.
It is important to note that Eq. (1) can be used for spherical nanoparticles of any size since only the quantization energy of the hole is considered.
As presented previously, our VQ_fk_nps algorithm has an important inheritance from kernel-based vector quantization to reach the resulting non-spherical clusters in the data space in a simple, intuitive, and efficient learning scheme.
In this case, the energy of Coulomb interaction Veh(r) (2) between the electron and the hole and also the energy of polarization interaction between the electrons or the hole and the QD-matrix spherical interface exceed the energy of electron or hole size quantization in the artificial atom.
Confined states of a positronium (Ps) in the spherical and circular quantum dots (QDs) are theoretically investigated in two size quantization regimes: strong and weak.
It can generate the non-spherical clusters based on the clusters resulted in the feature space by a kernel-based vector quantization approach.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com