In this paper, a new spectral-iterative method is employed to give approximate solutions of fractional logistic differential equation. This approach is based on combination of two different methods, i.e. the iterative method cite{35} and the spectral method. The method reduces the differential equation to systems of linear algebraic equations and then the resulting systems are solved by a numer...

This paper describes a statistical spectral parameter emphasis technique for HMM-based speech synthesis using mel-scaled line spectral pair (mel-LSP). Spectral parameter emphasis is effective for compensating over-smoothed spectra in HMM-based speech synthesis. However, there is no conventional technique that satisfies such requirements as automatic tuning for different speakers and realtime sy...

Highly accurate short-circuit current measurements of photovoltaic devices require spectrally adjustable radiation sources. This paper presents an optical setup, which is able to generate and adjust the spectral irradiance in wavelength range from 355 nm 1200 with resolution 7 15 nm. A grating light valve (GLV) used as a shaping tool. We prove highly resolved capability by matching generated AM...

The spectral power distribution of colorimetric daylight illuminants was determined based on measurements [1] done some 40 years ago. The data were averaged and standardised at every full 10 nm. Later, to follow colorimetric practice, these data have been interpolated (linearly) to every 5 nm, but the factors to calculate the values have not been changed. We show in this paper that this is not ...

In this paper, the Chebyshev spectral collocation method(CSCM) for one-dimensional linear hyperbolic telegraph equation is presented. Chebyshev spectral collocation method have become very useful in providing highly accurate solutions to partial differential equations. A straightforward implementation of these methods involves the use of spectral differentiation matrices. Firstly, we transform ...

In this study, we propose a novel minimal variance distortionless speech power spectral enhancement algorithm, which is robust to some of the real-world implementation issues. Our proposed method is implemented in the power spectral domain where stochastic noise can be modeled as the exponential distribution, whose non-Gaussianity is explored by order statistics filter. Both theoretical and exp...