Jianping Deng

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— This paper presents an approach to enhance speech feature estimation in the log spectral domain under additive noise environments. A switching linear dynamic model (SLDM) is explored as a parametric model for the clean speech distribution, enforcing a state transition in the feature space and capturing the smooth time evolution of speech conditioned on(More)
AIM The aberrant expression of regenerating islet-derived family member, 4 (Reg IV) has been found in various human cancers. However, the roles of Reg IV gene and its encoding product in human glioma have not been clearly understood. Therefore, the aim of this study was to investigate the clinicopathological significance of Reg IV expression in glioma. (More)
CD24 is overexpressed in glioma cells in vitro and in vivo. However, the correlation of its expression with clinicopathological parameters of gliomas and its prognostic significance in this tumor remain largely unknown. To address this problem, 151 glioma specimens and 10 nonneoplastic brain tissues were collected. Quantitative real-time PCR,(More)
In this paper, a Switching Kalman Filter (SKF) with a Generalized Pseudo Bayesian (GPB) algorithm of order 1 is applied to the problem of speech enhancement. It is proposed to use the masking properties of human auditory systems as a perceptual post-filter concatenated with the GPB algorithm. Experiments show that the proposed algorithm can achieve an(More)
PURPOSE To locate the muscarinic (M) M2 and M3 receptors in bladder interstitial cells of Cajal (ICCs) and to determine the effects of M2 and M3 agonists on bladder ICCs. MATERIALS AND METHODS A total of 30 adult male Sprague-Dawley rats weighing 225-250 g were used in this study. Double-labeled fluorescence of muscarinic receptors and c-kit was performed(More)
BACKGROUND The association of the three Glutathione S-transferases (GSTs) polymorphisms (GSTM1, GSTT1 and GSTP1) genotypes with their individual susceptibilities to renal cell carcinoma (RCC) has not been well established. We performed a quantitative meta-analysis to assess the possible associations between the GSTM1, GSTT1 and GSTP1 genotypes and their(More)