The pseudospectral (or Fourier) method has been used recently by several investigators for forward seismic modeling. The method is introduced here in two different ways: as a limit of finite differences of increasing orders, and by trigonometric interpolation. An argument based on spectral analysis of a model equation shows that the pseudospectral method (for the accuracies and integration time...

This study investigates the relationship between perceptual and physical spatial configurations of English fricatives judged by Japanese learners. Multidimensional scaling analyses were used to obtain spatial representations from similarity judgements and spectral distance analysis. The 2dimensional perceptual solution did not correspond well to its physical solution. For the physical space, th...

Great spectral simplification can be obtained by spreading the conventional one-dimensional nuclear magnetic resonance (NMR) spectrum in two independent frequency dimensions. This so-called two-dimensional NMR spectroscopy removes spectral overlap, facilitates spectral assignment, and provides a wealth of additional information. For example, conformational information related to interproton dis...

Random quantum circuits are a central concept in information theory with applications ranging from demonstrations of computational advantage to descriptions scrambling strongly-interacting systems and black holes. The utility random these settings stems their ability rapidly generate pseudo-randomness. In seminal paper by Brand\~ao, Harrow, Horodecki, it was proven that the $t$-th moment operat...

Abstract The distributed-order fractional telegraph models are commonly used to describe the phenomenas of diffusion and wave-like anomalous, which can model processes without a power-law scale across entire temporal domain. To increase range implementation models, there is need present effective accurate numerical algorithms solve these as hard analytically. In this work, novel matrix represen...

Recent advancements in Remote sensing has led the way for the development of Hyper spectral sensors. Hyper spectral remote sensing is a new technology that is currently being used by researchers and scientists with regard to the detection and identification of mineral, vegetation, man-made materials and other features. These sensors are far more superior as they collect information in a very na...