3,796 research outputs found

    TEMPERATURE-DEPENDENT BEHAVIOR OF FREE-ELECTRON SUSCEPTIBILITY

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    Temperature-dependent behavior of the electron gas is evaluated by a new method which does not require the restriction of the Sommerfeld method. Our method is based on the observation that the Fermi distribution function generates an infinite number of poles in the complex plane at finite temperature. This formalism is applied to derive the free-electron susceptibilities chi(r) and chi(q) in three dimensions analytically where the Sommerfeld expansion is not applicable. Finally, it is demonstrated that our method produces the identical result with the one obtained by the Sommerfeld method in the evaluation of the thermodynamic energy of the electron gas

    A taxonomy of dirty data

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    Today large corporations are constructing enterprise data warehouses from disparate data sources in order to run enterprise-wide data analysis applications, including decision support systems, multidimensional online analytical applications, data mining, and customer relationship management systems. A major problem that is only beginning to be recognized is that the data in data sources are often "dirty". Broadly, dirty data include missing data, wrong data, and non-standard representations of the same data. The results of analyzing a database/data warehouse of dirty data can be damaging and at best be unreliable. In this paper, a comprehensive classification of dirty data is developed for use as a framework for understanding how dirty data arise, manifest themselves, and may be cleansed to ensure proper construction of data warehouses and accurate data analysis. The impact of dirty data on data mining is also explored.This research was partially supported by Korea’s Brain Korea-21 grant. This research was partially supported by Korea’s KISTEP grant

    Natural quality two-band LPC coding of speech at 880 bit/s with frame interpolation

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    A novel frame interpolation technique for two-band linear predictive coding (LPC) vocoders is proposed for maintaining natural speech quality at bit rates below I kbit/s. Experimental results show that the speech quality of the proposed vocoder is quite natural at bit rates 880 bit/s and comparable to that of 4.8 kbit/s CELP

    A new band-splitting method for two-band speech model

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    In this letter, a new band-splitting method for two-band speech model is proposed, whereby a score function based on the subband periodicity is calculated for each harmonic band and the band of maximum score is selected as the band-splitting frequency. Using the score function, tracking technique is applied to the algorithm for the continuity of the band-splitting frequencies between neighboring frames. This method has proven to be robust to the inaccuracy of pitch estimation and the frequency resolution problem in low-pitched speech

    Perceptual adaptive multiband excitation coder using masking properties of human ear

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    A new multiband excitation ender that exploits the characteristics of human auditory perception is described. In the proposed method, all model parameters are estimated and quantised by utilising the noise-to-mask ratio. Experimental results show that the proposed method can reduce the perceptual distortion significantly at much lower bit rates

    A neutral group 4 poly(methylmethacrylate) catalyst derived from ortho-carborane

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    rac-Zr(eta(5):eta(1)-CpCMe2CB10H10C)(2), prepared from the reaction of the dilithium salt of the new isopropyl-bridged cyclopentadienyl o-carboranyl ligand CpHCMe2CB10H10CH with ZrCl4 catalyzes the formation of syndiotactic poly(methyl methacrylate) ill THF in the absence of any alkylating reagent or cationic center generator.We gratefully acknowledge financial support provided by the Korea Science and Engineering Foundation and KAIST

    Multicodebook split vector quantization of LSF parameters

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    A multicodebook quantization method for improving the performance of the split vector quantization (SVQ) is described. In the proposed method, multiple codebooks having different sizes are trained, and the minimal-size codebook and its codeword satisfying the condition based on the spectral distortion are determined. Several clustering techniques for reducing total bit rate and the analysis of the computational complexity are also presented. Experimental results have shown that the proposed method reduces the number of outliers significantly and achieves a better rate-distortion performance compared with the fixed-bit-rate SVQ, multistage VQ, and variable-bit-rate SVQ
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