• As of 2004 he is also a Professor at MSE and Ames Lab, Iowa State University.

    2004年,他还担任了美国爱荷华州立大学机械科学与工程专业以及爱姆斯国家实验室的教授。

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  • The testing results show that the OVQM is better than MSE in measurement of the compression impairments.

    实验结果表明,在测量压缩损伤方面,OVQM比MSE具有更大的优势。

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  • Afterward according to the MSE rule, we design a limited length transversal filter, and implement by MATLAB.

    在MSE准则下,设计了一个定长的自适应最小均方横向滤波器,并通过MATLAB编程实现。

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  • Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.

    剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。

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  • It obtains low average mean squared error (MSE), fast convergence velocity and decreases the noise sensitivity at the same time.

    该方法计算简单、均方误差小、收敛速度快,并且降低了算法对噪声的敏感性。

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  • The experimental result shows that the new method has better stability and visual features compared with MSE, SNR and minimum correlation coefficient.

    实验结果表明该方法与最小均方误差准则、信噪比准则和相关系数最小准则相比,具有更好的稳定性和视觉特性。

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  • Simulations show that the improved soft-thresholding function is obviously better than the other three improved thresholding functions in terms of SNR and MSE.

    仿真实验显示:无论是信噪比还是最小平方误差,改进的软阈值函数比其它三种改进的阈值函数的效果都要好一些。

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  • The optimality of the MSE of combining ridge and principal components in the class of combining ridge and reduced dimension estimators is dealt with in this paper.

    本文研究了在均方误差意义下岭型主成分估计在岭型降维估计类中的最优性。

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  • The LMMSE channel estimation algorithms based on Pilot-Assisted is investigated for MIMO-OFDM systems, and the Low-Bound of MSE for LMMSE channel estimation is derived.

    该文对MIMO - OFDM系统中基于导频辅助的LMMSE信道估计算法进行了研究,导出了其估计均方差的下界。

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  • After speed of statistical convergence and MSE (Mean Square Error) of these algorithms are compared, Bayes Generalization algorithm is assessed to be the most appropriate.

    在比较收敛速度和均方差后,确定选用贝叶斯正则算法建立模型。

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  • In the conventional zero-forcing or minimum MSE equalizers, a known training sequence is transmitted to the receiver for purpose of initially adjusted the equalizer coefficients.

    在常规的迫零或最小MSE均衡器中,会发送一个确知的训练序列给接收机,以便调整均衡器系数。

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  • Taking the channel estimation mean square error (MSE) as the performance evaluation indicator, the thesis verifies the efficiency of the proposed scheme from the theoretical aspect.

    并且以信道估计均方误差(MSE)作为评估标准,从理论上证明了所提算法的有效性。

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  • In the new algorithm, a time-variant forgetting factor is introduced to estimate the Mean Square Er-ror (MSE) and change the updating direction of adaptive filter coefficient vector.

    新算法使用时变遗忘因子对误差进行指数加权平均来估计均方误差,并使用该因子改变自适应迭代过程中滤波器系数向量的更新方向。

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  • The validity and feasibility of the algorithm is tested through a simulation experiment and two appraisal criterions-mean square error (MSE) and peak value signal to noise ratio (PSNR).

    通过仿真实验结果及均方误差(MSE)和峰值信噪比(PSNR)两种评价准则说明了该算法的有效性和可行性。

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  • The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.

    通过对华东某地市电网日负荷96点曲线的预测结果显示,该方法效果较好,日预测均方根误差在1.78%以内,能较好地满足实际电力系统的负荷预测要求。

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  • An optimal subband rate allocation algorithm in mean-squared error (MSE) minimization sense was proposed, which achieves persistent optimal rate-distortion performance under any given rate constrains.

    提出均方误差最小意义上的最佳三维子带码率分配算法,该算法在任意给定码率限制条件下都能获得最优率失真性能。

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  • An optimal subband rate allocation algorithm in mean-squared error (MSE) minimization sense was proposed, which achieves persistent optimal rate-distortion performance under any given rate constrains.

    提出均方误差最小意义上的最佳三维子带码率分配算法,该算法在任意给定码率限制条件下都能获得最优率失真性能。

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