* Corresponding author. E-mail: [email protected] Abstract – The universal pattern decomposition method (UPDM) has been successfully applied to simulated data for Landsat/ETM+, Terra/MODIS, ADEOS-II/GLI and others using ground-measured data. The UPDM is tailored to decrease dimensions of hyper multi-spectral data that have sensor-independent characteristics and thus exploit hyper multi-s...

Adaptation of mixed-excitation linear predictive (MELP) model for application in voice conversion is presented. The adapted model features only numerical parameters which can be used for phonetic space transformation from source to target speaker using methods of machine learning. The validity of the model was demonstrated by applying transformation to both the pitch and the spectral envelope o...

We construct infinite hierarchies of nonlocal higher symmetries for the oriented associativity equations using solutions of associated vector and scalar spectral problems. The hierarchies in question generalize those constructed by Chen, Kontsevich and Schwarz [40] for the WDVV equations. As a byproduct, we obtain a Darboux-type transformation and a (conditional) Bäcklund transformation for the...

This paper deals with the boundary value problem involving the differential equation ell y:=-y''+qy=lambda y, subject to the eigenparameter dependent boundary conditions along with the following discontinuity conditions y(d+0)=a y(d-0), y'(d+0)=ay'(d-0)+b y(d-0). In this problem q(x), d, a , b are real, qin L^2(0,pi), din(0,pi) and lambda is a parameter independent of x. By defining a new...

Based on a local spatial/frequency representation, the spectral histogram of an image is defined as the marginal distribution of responses from a bank of filters. We propose the spectral histogram as a quantitative definition for textons. The spectral histogram model avoids rectification and spatial pooling, two commonly assumed stages in texture discrimination models. By matching spectral hist...

On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages ——higher spatial resolution can be acquired from the PCA transformation; however, more serious distortion of spectral characteristics can happen as well. While, the àtrous wavelet transformation is able to preserve spatial information; however, the result is lack of high spat...

In this paper a gradient-based algorithm for finding spectral peak locations is presented. The algorithm makes use of gradient and acceleration locations in the spectrogram for locating the peaks. Use of frequency gradients and accelerations locate peaks. The results are then interpolated to yield a smooth peak envelope. The method is evaluated in the aurora framework. A first pass locates all ...

The effective complex conductivity σeff of a two-component material can be conveniently expressed as an integral transformation of a spectral function. The spectral function depends only on the geometry of the material, and can be used to calculate σeff for any particular choice of component conductivities. This is a very useful feature if the component conductivities can be varied (by changing...

A class of spectral problems with a hidden Lie-algebraic structure is considered. We define a duality transformation which maps the spectrum of one quasi-exactly solvable (QES) periodic potential to that of another QES periodic potential. The self-dual point of this transformation corresponds to the energy-reflection symmetry found previously for certain QES systems. The duality transformation ...