• 这种逻辑改变基本语义改变语义特征比如基本语义涉及参数

    Such logic would not change fundamental semantics, but, for example, only change parameter values involved in the fundamental semantics.

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  • 当发动机转速变化较大振动信号平稳严重时,高精度地提取出了特征分量参数

    Although the engine's rotational speed changes notable and the vibration signal is seriously nonstationary, the character component's parameter is picked up precisely.

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  • 已知试验轴承故障特征参数故障特征参数采用何种方法采自实际应用场合的轴承信号进行判断和处理问题关键

    How to diagnose and deal with bearing signal which is gathered on-the-spot is the key problem based on the known of bearing trouble feature parameter and non-trouble one.

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  • 对于轴向阶梯载荷圆柱轴对称动力屈曲,将临界应力屈曲惯性指数作为特征参数求解。

    Critical stress and inertial exponent are treated as two characteristic parameters for the asymmetric dynamic buckling of cylindrical shells under axial step loading.

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  • 本文介绍了一种用于分析具有多分布特征参数方法-均值平移并且展示了不同应用中的优良性能

    This thesis introduces a non parametric procedure for the analysis of multimodal data based on mean shift property, and demonstrates its superior performance in various applications.

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  • 借助相应带不定权特征问题第一特征建立了平凡存在性定理,其中方程组特征参数小于已知常数

    The existence of a nontrivial weak solution is established with the help of the first eigenvalue of the corresponding eigenvalue problem, where the eigenvalue parameter is less than a known constant.

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  • 线性数学手段难以精确描述均质参数的空间分布特征

    It is difficult to accurately characterize the parameter distribution through conventional linear methods.

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  • 非参数自回归模型能够描述许多数据自身所体现线性特征而受到人们的广泛关注

    Nonparametric autoregressive model have gained much attention recently, due primarily to the fact that they can describe some nonlinear features exhibited by many data itself in applications.

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  • 非参数回归模型能够描述许多数据自身所体现线性特征而受到人们的广泛关注

    Nonparametric regressive model has gained much attention recently, primarily due to the fact that they can describe some nonlinear features exhibited by many datas itself in applications.

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  • 非参数回归模型能够描述许多数据自身所体现线性特征而受到人们的广泛关注

    Nonparametric regressive model has gained much attention recently, primarily due to the fact that they can describe some nonlinear features exhibited by many datas itself in applications.

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