均方

jūn fāng
  • mean square
均方均方
均方 [jūn fāng]
  • [mean square] 一组数的平方的平均值

均方[jūn fāng]
  1. 基于X滤波最小均方算法的冲击振动自适应逆控制

    Adaptive Inverse Control of Shock Vibration Based on Filter-X Least Mean Square Algorithm

  2. 均方稳定的多维AR系统的一个性质

    Property of multidimensional AR systems being stable in mean square

  3. 均方RS积分与普通RS积分的比较

    Comparision between Quadratic Mean R-S Integral and General R-S Integral

  4. 二阶矩过程为n阶均方可导的一个充要条件

    A Necessary and Sufficient Condition of n-Order Mean Square Differentiability for a Second Moment Stochastic Process

  5. CDMA系统中信道估计最小均方误差的研究

    Study on Minimum Mean Square Error of Channel Estimation in CDMA System

  6. 基于可靠性的低复杂度最小均方误差软干扰抵消MIMOTurbo接收机

    Reliability Based Reduced-complexity MMSE Soft Interference Cancellation MIMO Turbo Receiver

  7. 基于最小均方误差的多用户MIMO下行预编码

    Linear precoding based on MMSE in multi-user MIMO downlink

  8. 自适应LMS算法均方误差收敛的充分条件

    A sufficient condition ensuring the MSE convergence of adaptive LMS algorithm

  9. 多因素方差分析出现F1时对误差均方的调整

    Adjustment to Mean Square of Error When F1 in Multivariate ANOVA

  10. 介绍了码分多址CDMA系统中码片级线性最小均方误差均衡器。

    The chip level linear minimum mean square error ( LMMSE ) equalizer in CDMA systems is introduced .

  11. 用Bootstrap法估计均方预测误差

    The Estimation of mean Square Forecast Error by Bootstrap and Method

  12. 对基于训练数据的最小均方(LMS)算法进行了研究;

    The paper makes some researches on training symbol-assisted least-mean-square ( LMS ) algorithm .

  13. 复对称鞅的q均方函数与复拟Banach空间的PL一致凸性

    Uniformly PL convex Property for Complex Quasi Banach Space and q mean Square Function of Symmetric Complex Martingales

  14. X射线衍射仪的工作条件对干涉线纹的重心位置、均方宽度及线型的影响

    The influence of working conditions of X-ray diffractometer on the position of the centre of gravity , the mean-square width and the profile of interference lines

  15. 首先,在抑制噪声干扰方面,本文设计了一种最小均方(LMS)算法的自适应滤波器,来消除局部放电检测中广泛存在的周期性干扰信号。

    Firstly , this paper designs a LMS algorithm adaptive filter to solve period noise disturbing .

  16. 这两种方法都是基于最小均方误差估计(MMSE)准则的特征补偿。

    Both approaches are based on the minimum mean squared error ( MMSE ) sense .

  17. 应用于MC-CDMA系统的块最小均方自适应合并技术

    Block Least Mean Square Adaptive Combining for MC-CDMA Systems

  18. 首先,本文通过对HELP算法的深入分析,根据语音信号谐波相关程度能反映浊音度强弱的性质,开发了一种基于最小均方误差准则的谐波相关浊音度参数提取方法。

    First , after deeply investigating HELP model , a harmonic related voicing detection algorithm based on MSE criterion is developed , with the knowledge that voicing algorithm can be showed by degree of harmonic relation .

  19. 利用二次移动平均模型,引入均方拟合误差最小的原理确定出时段数N,对国民经济总收入、人口数量等项目进行了预测。

    The total income of national economy and the amount of population are predicted with second-degree moving model and with the principle of least mean square fit error determining designated value N.

  20. 给出了当采用最小均方自适应算法、归一化最小均方算法、标准RLS算法时海浪滤波器的滤波仿真结果。

    The simulations of the sea adaptive filter adopting LMS , NLMS and RLS are given .

  21. 基于均方误差(MSE)准则,分析线性均衡器在补偿有符号间串扰(ISI)信道中的码间干扰时的性能状况。

    The performance in which the channel with ISI is compensated by equalization approaches is analyzed .

  22. 还讨论了当f(t)为随机σ-频谱有限函数时,它与g(t)的均方距离达到最小的估计。

    It is also discussed that the estimation minimizes the mean square distance to g ( t ) when f ( t ) is a random σ - bandlimited function .

  23. 频域特征值为均方频率(MSF);

    The feature value of frequency domain is MSF ;

  24. 利用最小均方误差(MMSE)准则求得相关干扰条件下阵列最优加权矢量和输出最小均方误差;

    Then , the optimal weighted vector and the MMSE minimum mean square error were obtained using the MMSE principle .

  25. 给出了条件均方预测误差公式和Bootstrap法条件均方预测误差公式。

    Conditional mean square forecast error formulas and bootstrap procedure dealing with conditional mean square forecast error formulas are given .

  26. 论述了自适应滤波器谐波检测原理,利用最小均方算法(LMS)对所需检测信号进行预测。

    The harmonic detection principle is discussed , and the least mean square algorithm is used to predict the signals to be detected .

  27. 并且给出了一个指数Euler方法应用于半线性随机微分方程中是均方稳定性的一个充分条件。

    And a sufficient condition is established under which exponential Euler method is mean square stable when is applied to semi-linear stochastic differential equation .

  28. 通过利用ito随机微分分析的方法,我们得到了使二阶多个体系统在均方意义下达到一致的一个充分条件。

    By utilizing ito stochastic differential analysis method , a sufficient condition for second-order multi-agent system achieving consensus in mean square sense is obtained .

  29. 这种新方法通过信号子空间的奇异值和奇异向量得到CDMA系统的线性最小均方误差(MMSE)多用户检测器。

    The proposed detector uses singular values and singular vectors of the signal subspace in a linear MMSE multiuser detector for the DS CDMA system .

  30. Kantorovich不等式的延拓与均方误差比效率

    Extensions of the Kantorovich Inequality and the Error Ratio Efficiency of the Mean Square