• 然后引入新的步长函数空间这个空间上,采用变分近似讨论格式稳定性问题

    Then the new step function space is introduced and stability problem for the finite difference scheme is discussed by means of variational approximation method.

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  • 选择adpcm修正因子M涉及复杂目标函数变量优化,是一个海量计算问题。

    Choice of ADPCM's step-size updating factors m had a sea capacity of computing which optimizes multi-variables with complex cost function.

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  • 文中导出样条函数步长矩阵

    The step matrix of spline function is derived.

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  • 一个时间步长利用MATLAB提供矩阵命令即可求出各个未知节点函数近似值

    For each time increment, the approximation of each unknown nodal function can be solved with the matrix left division command in MATLAB.

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  • 在详细分析现有LMS算法基础上,给出一种双曲正切函数改进形式为变步长的LMS算法。

    A new variable step size LMS algorithm with improved hyperbolic tangent function is presented, which is derived by the extensive review about some existing LMS algorithms.

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  • 所以我们给出自适应修正自然梯度算法一个合适的距离测度函数控制动力因子

    So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.

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  • 提出了适应均衡算法,利用剩余误差信号自相关函数估计值作为控制的因子来自适应改变步长的大小,克服了恒模算法存在的固有缺陷。

    A new variable step-size CMA blind equalization algorithm is introduced to conquer the defects of CMA, in which the step size is controlled by the estimation of error signal's autocorrelation.

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  • 基于输出层函数线性函数的三层前馈神经网络,结合自适应步长动量解的伪牛顿算法迭代最小二乘法导出了一种混合算法。

    On the basis of both adaptive BP algorithm and Newtons method, Quasi Newton algorithm with adaptive decoupled step and momentum (QNADSM) for feed-forward neural networks is derived.

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  • 文中算法根据函数这种性质将单步长变差函数作为图像纹理特征进行分割实验结果表明纹理图像分割识别十分有效的。

    The variogram value and the variable distance calculated by the variogram function are used for the segmentation of texture image. This method is proved to be feasible and effective by experiments.

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  • 重复过程,便获得任意时间步长函数

    The procedure may be repeated to obtain the wave function values for any desired number of time increments.

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  • 重复过程,便获得任意时间步长函数

    The procedure may be repeated to obtain the wave function values for any desired number of time increments.

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