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linear interpolation相关的网络例句

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与 linear interpolation 相关的网络例句 [注:此内容来源于网络,仅供参考]

Based on the minimum path error interpolation method, a new circular interpolation algorithm is proposed, which is of simplity, short run time and positive deviation.

基于最小偏差插补算法的基本思想,提出了一种新的圆弧插补递推算法,该方法算法简单、行速度快、具有正偏差特性。

In this paper,the window and interpolation algorithm is derived,and a practical interpolation formula with Blackman-Harris window is proposed.

笔者在前人的基础之上,对高精度FFT算法进行了详细的推导,并给出了加Blackman-Harris窗插值算法的实用公式。

Lagrange interpolation formula, the right to use discrete n data interpolation.

用拉格朗日插值公式,对给定的n用离散数据进行插值计算。

through researching the formula on Newton interpolation of equally spaced nodes, especially through estimating and computing the remainder, we can draw a conclusion that the precision of the interpolation point selected in the middle is higher than near the end, the value of t also should be magnified to , and giving a new estimating formula on remainder which is easy to compute.

通过研究等距节点的Newton插值公式,尤其通过估计和计算其余项,得出了插值点选在中间时精度要优于选在端点附近的结论,t值也可放大为,并给出易于计算的新的余项估计式。

As an application of the interpolation criteria, the interpolation formula of bandlimited transmission signals which satisfied the condition of the Nyquist first criteria has been presented.

在信号插值问题上,首先利用基本的信号模型和Nyquist第一准则,导出了一个插值准则,作为插值准则的应用,对满足Nyquist第一准则的带限传输信号给出了一个通用的插值公式,以升余弦滚降函数为成形滤波函数的限带传输信号作为一个特例,通过计算机仿真验证了插值算法的可行性和有效性。

This paper mainly studies the interpolation based on FPGA,and hope to through the flexibility of FPGA to realize interpolation function.

本论文主要研究基于FPGA的内插器,希望通过FPGA的开发灵活性来实现内插的功能。

In the essence of fuzzy interpolation, its interpolation function is a group of " IF-THEN " fuzzy rules.

因为模糊控制的机理就是模糊插值和模糊逼近。

In order to reduce the computation of fractal-based interpolation, an interpolation method based on fractal templates is introduced.

其次,为减少基于FBM模型的图象插值的计算量提出了一种基于模板的图象插值方法。

The main content includes that the accuracy of interpolation operators is creased since defect equations introduce less error: Gauss-Seidel solution can save effectively the computational time, in particular, the CPU-time for the setup phase; Jacobi-relaxation interpolation contributes to efficient and robust algebraic multigrid methods by a simple and purely algebraic mean.

最主要的内容是基于亏量方程引入的误差较小,从而进一步提高插值算子的精度;采用Gauss-Seidel解法有利于节省计算时间,特别是预备阶段的CPU时间;插值的松驰以一种简单的纯代数的方式获得高效且稳健的代数多重网格算法。

Clearly, Lagrange interpolation nodes are used the more the number of interpolation polynomial higher.

显然,Lagrange插值中使用的节点越多,插值多项式的次数就越高。

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