1) prewavelets
预小波
1.
The algorithm can be applied to the construction of compactly supported wavelets and prewavelets from multiresolutions generated by serveral univariate scaling functions with an arbitrary dilation parpmeter.
因此可用此方法构造出很多种不同的r重紧支撑向量小波和预小波 (n≥3) ,从而也给出了同一尺度函数相对应的紧支撑向量小波或预小波非唯一的构造算法 。
2.
In chapter 3, we have investigated the existence of prewavelets with ?nitedecomposition and ?nite reconstruction.
本文主要研究多元可加细样条及其在预小波构造和细分方面的应用。
2) bivariate prewavelet
二元预小波
3) wavelet pretreatment
小波预处理
1.
Afterwards, by introducing the theory of wavelet pretreatment, it is found that there are several disadvantages in the compression system in using the traditional wavelet transform, for example, it is not conducive to lossless compression and hardware implementation .
然后从小波预处理技术出发,阐述了小波变换的原理,发现传统小波变换在星载遥感图像压缩系统的应用中,不利于无损压缩,不利于硬件实现,故采用第二代小波变换来弥补传统小波变换的不足。
4) cascaded genetic algorithm(CGA)
多小波预滤波器
5) multi-wavelet pretreatment
多小波预处理
6) wavelet coefficients preprocessing
小波系数预处理
补充资料：设备安装前的准备工作——设备的预装配与预调整
设备安装前的准备工作——设备的预装配与预调整 | ||
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说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条