The work concerns the application of spectral indexes (NDVI, SAVI and other types indexes) for monitoring evaluation plant communities desertified Amudarya river delta communities. described approach includes multi-level spatial model landscape transformation with desertification, soil erosion, salinity increasing, climatic changes to improve adequacy remote sensing methods complicated non-stab...

We present reciprocal transformations for the spectral problems of Korteveg de Vries (KdV) and modified (mKdV) equations. The resulting equations, RKdV (reciprocal KdV) RmKdV mKdV), are connected through a transformation that combines both Miura transformations. Lax pairs straightforwardly obtained by means aforementioned have also identified classical Lie symmetries RmKdV. Non-trivial similari...

In the context of the MOSART Program, a software-based realtime saxophone synthesizer is being developed at the Music Technology Group of the IUA. Main objectives are high sound quality and flexible control over meaningful musical performance parameters. The synthesis concept is built upon the “Sinusoidal plus Residual Model”. A database holds spectrally pre-analyzed sound segments, which are u...

The theory of the 2-D Wold decomposition of homogeneous random elds is eeective in image and video analysis, synthesis, and model-ing. However, a robust and computationally ef-cient decomposition algorithm is needed for use of the theory in practical applications. This paper presents a spectral 2-D Wold decomposition algorithm for homogeneous and near homogeneous random elds. The algorithm reli...

We present a numerical scheme for determining hyperboloidal initial data sets for the conformal field equations by using pseudo-spectral methods. This problem is split into two parts. The first step is the determination of a suitable conformal factor which transforms from an initial data set in physical space-time to a hyperboloidal hypersurface in the ambient conformal manifold. This is achiev...

This paper introduces a version of empirical likelihood based on the periodogram and spectral estimating equations. This formulation handles dependent data through a data transformation (i.e., Fourier transform) and is developed in terms of the spectral distribution rather than a time domain probability distribution. The asymptotic properties of frequency domain empirical likelihood are studied...

A new approach to computation of spectral moments of temporal signals is proposed. The approach is based on the auto correlation sequence of the original temporal signal, and makes use of the fact that the power spectral density is a discrete-time continuous-frequency function. The new approach offers more efficient generation of moments than the approaches based on numerical integration of the...

Speaker transformation is a technique that modifies a source speaker’s speech to be perceived as if a target speaker has spoken it. Compared to statistical techniques, warping function based transformation techniques require less training data and time. The objective of this paper is to investigate the transformation using quadratic surface interpolation. Source and target utterances were analy...