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matlab-loop

于 2013-11-20 发布文件大小:18KB

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基于电力系统中的潮流编写的电力系统回路阻抗法以更好的解决电力系统中的潮流问题(Based on the trend of power system loop impedance power system written law in order to better solve the power system of the power flow problem )

文件列表：

matlab 回路法
.............\creatingloopZ.doc,29696,2013-03-13
.............\distrdata01.doc,27136,2013-03-13
.............\initiationofite.doc,24576,2013-03-13
.............\IteVoltage.doc,29184,2013-03-13
.............\main01.doc,24064,2013-03-13
.............\Z-1C-ITE.doc,29184,2013-03-13

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CHAOGAOSI
研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

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matlab-loop

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