Sentence examples for more complex spectral from inspiring English sources

Recent advances in layer thickness control and areal uniformity have enabled numerous product applications requiring more complex spectral forms.

This is because, although the wavelet transform decomposed F0 features to more complex features, they can be trained enough by NNs, whereas the more complex spectral features require a deeper architecture.

In order to accommodate the undesirable side lobe generated by the more complex spectral structure, we need to introduce the Rayleigh criterion for resolution, which is explored in the inset in Fig. 6.

The larger 3-, 7-, and 12-NP clusters exhibit various degrees of strong electric fields around/within the NPCs at wavelengths longer than 700 nm (third, fourth, and fifth row of Figure 8), illustrating how large NPCs exhibit more complex spectral properties than monomers and dimers.

We attribute this broadening to the spectral properties of the larger NPCs seen in TEM at t = 24 h (Additional file 1: Figure S3), as large NPCs exhibit more complex spectral properties than monomers and dimers due to the excitation of higher-order modes [55].

A simple two-metric model has been demonstrated, more complex spectral analysis may yeild greater discrimination performance.

Rather, spectral inversion alters more complex acoustic features, including spectral and joint spectrotemporal modulations that are likely to be critical for disambiguating natural from synthetic sounds (e.g. Chi et al., 2005).

Though the results are promising, in order to assess the validity of the spectral data comprehensively, future work must include experiments involving the spectral variances induced by other resources such as changes of humidity, pressure, and etc., and the application of the 2DCOS should be performed in more complex matrices with highly overlapping spectral features.

Although both the spectral and prosodic trajectories generated by HMMSS are over-smooth, the effect of over-smoothness in a spectral sequence is more serious since the structures of spectral features are more complex, as shown in [5].

This method is useful for more complex constructions (see Section 6.2) where spectral optimization becomes a more multi-dimensional task.

Aged pavement spectral signals become more complex when cracks in the asphalt expose unweathered materials, which have a lower reflectivity.