小波理论与应用 Warelet Theory and Application
Multisensor image fusion, Image processing, Neural networks, Fuzzy set, Wavelet theory.
多传感器图象融合，图象处理，神经网络，模糊理论，小波理论。
参考来源 - 多传感器图象信息融合方法与应用研究Wavelet theory is discussed in the clue of discretization and information representation.
对小波理论本文以离散化和信息表示为主线作了讨论。
参考来源 - 小波变换在图像压缩编码中的应用研究The theory of wavelet is newly used for signal analysis which has been developed quickly in recent years.
小波理论是近年来兴起的信号分析理论。
参考来源 - 基于Brushlet基的图象分析和压缩算法研究The research of wavelet theories have been becoming a new direction of the applied mathematics in resent years.
近十几年来小波理论研究已成为应用数学的一个新方向。
参考来源 - 基于Matlab的小波变换在图像压缩中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
旨在完善小波理论的同时，结合小波的时频域特性设计出新的应用算法，将其用于图像识别。
This paper aims to consummate the wavelet theory, combining with its excellent time and frequency feature , present some new algorithms and use to image recognition.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
小波理论为有限元方法提供了许多不同的基函数和多尺度分析方法，需要根据具体分析问题进行选择。
Wavelet theory provides various basis functions and multi-resolution methods for finite element method, which will be selected in solving different problems.
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