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In this paper a new spectral envelope estimation method based on radial basis function (RBF) neural network is proposed for implementing a blind bandwidth extension method of audio signals. To make the sub-band envelope of high-frequency (HF) components accurately recovered, the RBF neural network is utilized to fit the relationship between low-frequency(More)
In this paper a new method of blind bandwidth extension from wideband (WB) to super-wideband (SWB) audio is proposed. The Radial Basic Function (RBF) neural network is utilized to predict the coefficients of high-frequency (HF) based on the nonlinear characteristics of audio spectrum series. In addition, the linear extrapolation is used for reconstructing(More)
Soil type is an important factor defining terrestrial ecosystems and plays a major role for the movement of solutes and cycling of nutrients and carbon. This paper focuses on the effect of peat complex dual-porosity structure on nitrate reduction, with the main objective to show how this process is controlled by pore-scale mass transfer and exchange of(More)
OBJECTIVE The objective of this study was to evaluate the correlation between the expression of p53 gene and the prognosis after local excision in uveal melanoma. MATERIALS AND METHODS Real-time polymerase chain reaction (RT-PCR) test and Western blot were used to detect the expression of p53 in C918, MUM-2B, and D78 cell lines at the levels of messenger(More)
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