Wavelet is the best base of functions, with point singularity, and it has wide application in image processing because of its time-frequency localization and multiscale features.
小波是表示具有点奇异性函数的最优基,它由于具有时-频局部化特点和多尺度特性,在图像处理领域得到了广泛应用。
参考来源 - 基于视觉特性的多方向小波构造及其应用研究At first, basic concepts in wavelet theory is expounded, focused on wavelet transform, multi-resolution analysis, Mallat algorithm and filter-banks etc. By examining the time-frequency characteristics of the wavelet basis, the rule of best basis selection is proposed.
论文首先阐述了小波理论的一些基本概念，包括小波变换、多分辨率分析、Mallat算法和等效滤波器组等，在此基础上考察了小波基的各种时频特性，提出了图像编码中最优基的选取原则。
参考来源 - 高性能图像编码研究·2,447,543篇论文数据，部分数据来源于NoteExpress
求出使最优解或最优基保持最优的消耗系数矩阵中列向量和行向量的可变范围。
The variable ranges of vectors in consumption coefficient matrix for which the optimal solution or optimal basis remain invariable are determined.
在脑机接口研究中，针对脑电特征抽取，提出一种基于小波包最优基分解的方法。
In the study of brain-computer interfaces, a method based on best basis of wavelet packet decomposition was proposed. The method is used for the feature extraction of electroencephalogram.
用最优基的思想在理论上解释疯狂单词构成的合理性以及在如何选取疯狂单词上进行指导。
And then, by using the definition of the optimal base, the feasibility of the structure of the crazy words is explained.
应用推荐