该文提出归一化自适应预测矢量量化(NAPVQ)算法压缩sar原始数据。
This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ).
提出了光子晶体光纤色散的矢量有效折射率计算方法，并结合归一化色散的概念研究了光子晶体光纤的色散特性。
A fully vectorial effective index method is proposed and used to study the dispersion properties of photonic crystal fibers in combination with the concept of normalized dispersion.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
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