The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插值的解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来修改小，使得质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插值函数构造相应小波函数的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理的一项要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插值型值点复数化的方法及向量值连分式的向后三项递式讨论并给出了二元向量值有理插值的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究的基础上,利用普通克里格法设计与实现了站点观测数据的连续空间化模型,并详细讨论了该方法的技术实现细节。最后给出统的实现结果及用户界。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插值的解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来修改画面大小，使得画质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑M-交插值函构造相应小波函的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理的一项要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插值型值化的方法及向量值连分式的向后三项递推关系式讨论并给出了二元向量值有理插值的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究的基础上,利用普通克里格法设计与实现了站观测据的连续空间化模型,并详细讨论了该方法的技术实现细节。最后给出系统的实现结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插值的解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来修改画面大，使得画质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插值函数构造相函数的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理的一项要技术，经典的插值算法会产生细节模糊和边缘锯。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插值型值点复数化的方法及向量值连分式的向后三项递推关系式讨论并给出了二元向量值有理插值的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究的基础上,利用普通克里格法设计与实了站点观测数据的连续空间化模型,并详细讨论了该方法的技术实细节。最后给出系统的实结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品内在插值解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来修改面大小，使到尽可能保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插值函数构造相应小波函数矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理一项要技术，经典插值算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然利用插值型值点复数化方法及量值连分式三项递推关系式讨论并给出了二元量值有理插值一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究基础上,利用普通克里格法设计与实现了站点观测数据连续空间化模型,并详细讨论了该方法技术实现细节。最给出系统实现结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插的解释是剩余，因此可算。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

用双三插运算来修改画面大小，得画质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插函数构造相应小波函数的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插是图像处理的一项要技术，经典的插算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插型点复数化的方法及向连分式的向后三项递推关系式讨论并给出了二元向有理插的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插方法研究的基础上,利用普通克里格法设计与实现了站点观测数据的连续空间化模型,并详细讨论了该方法的技术实现细节。最后给出系统的实现结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插的解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插运算来修改画面大小，使得画质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插函数构造相应小波函数的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插是图像处理的一项要技术，经典的插算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插型点复数化的法及向量连分式的向后三项递推关系式讨论并给出了二元向量有理插的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插法研究的基础上,利用普通克里格法设计与实现了站点观测数据的连续空间化模型,并详细讨论了该法的技术实现细节。最后给出系统的实现结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插值的解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来面大小，使得质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插值函数构造相应小波函数的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理的一项要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插值型值点复数化的方法及向量值连分的向后三项递推关论并给出了二元向量值有理插值的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究的基础上,利用普通克里格法设计与实现了站点观测数据的连续空间化模型,并详细论了该方法的技术实现细节。最后给出统的实现结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品内在插值解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来修改面大小，使到尽可能保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插值函数构造相应小波函数矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理一项要技术，经典插值算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然利用插值型值点复数化方法及量值连分式三项递推关系式讨论并给出了二元量值有理插值一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究基础上,利用普通克里格法设计与实现了站点观测数据连续空间化模型,并详细讨论了该方法技术实现细节。最给出系统实现结果及用户界面。

The inner product in interpolation interpretation is a residual and therefore can be precomputed successively.

产品的内在插值的解释是剩余，因此可算成功。

Bicubic rescale algorithm shrinks video to small screen size in best possible quality.

使用双三插值运算来面大小，使得质得到尽可能的保证。

The problem for constructing wavelets from a M-band orthogonal interpolatory scaling function was considered.

摘要考虑由M-带正交插值函数构造相应小波函数的矩阵扩充问题。

Image interpolation is an important technique of image processing.The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

图像插值是图像处理的一项要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。

Then a new algorithm of brivate vector -valued rational interpolants by means of complexification of the knots and backward three-term recurrence relations is given.

然后利用插值型值点复数化的方法及向量值连分的向后三项递推关论并给出了二元向量值有理插值的一种新算法。

Based on previous research on geostatistical data interpolation,this paper demonstrates how to use Kriging to design and implement a module to sequence and spatialize data of monitoring station.

该文在对地统计学插值方法研究的基础上,利用普通克里格法设计与实现了站点观测数据的连续空间化模型,并详细论了该方法的技术实现细节。最后给出统的实现结果及用户界面。