本论文研究了以图像为载体，基于经验模式分解算法的信息隐藏。
This thesis researches on the hiding information which held the image as the carrier and based on empirical mode decomposition algorithm.
对经验模式分解算法中的滤波停止条件和端点延拓问题进行了研究。
The stopping criteria for sifting and boundary effect are studied for Empirical Mode Decomposition(EMD) algorithm.
带注释的XML模式分解是DB 2Viper中引入的一个新特性，是用新的算法和映射语言重新编写的特性。
Annotated XML schema decomposition is a new feature introduced in DB2 Viper. It has been written from scratch with new algorithms and mapping language.
前面的性能比较表明，由于采用了新的架构和算法，新的带注释的XML模式分解比XMLExtender分解要快得多。
Due to the new architecture and algorithm, early performance comparisons indicate that the new annotated schema XML decomposition is much faster than XML Extender decomposition.
由于新的架构和算法，早期的性能对比显示新的注释模式XML分解比XMLExtender分解要快很多。
Due to the new architecture and algorithm, early performance comparisons indicate that new annotated schema XML decomposition is much faster than XML Extender decomposition.
本文提出了一个基于模式分解树，不需要扫描原数据库的增量挖掘算法。
The paper presents an algorithm for incremental mining which is based on pattern decomposing tree and has no need for scanning old data base.
本文通过分析经验模式分解方法的原理，对其关键技术进行研究并提出了一种改进算法。
This paper analyzes the principle of empirical mode decomposition method, and it analyzes key technologies and proposed an improved algorithm.
提出一种基于二维经验模式分解(BEMD)的图像水印嵌入算法，完成水印的嵌入和提取。
This paper proposes an image processing method which is based on Bidimensional Empirical Mode Decomposition (BEMD). BEMD is applied in watermark embedding and extraction.
将经验模式分解和多层前向网络的交叉覆盖算法相结合，提出一种时间序列相似模式的匹配算法。
This paper proposes an effective time series matching method by combining the empirical mode decomposition (EMD) with the alternative covering algorithm.
在分析经验模式分解存在问题的基础上，改进了经验模式分解的算法，提出用窗口平均法取代原极值包络法来计算局部均值。
Based on the analysis of some problems in the method of empirical mode decomposition, the algorithm of empirical mode decomposition is improved in this paper.
给出了关系数据模式分解中，既有无损连接性又保持函数依赖的分解算法，并用该算法指导应用软件的开发工作。
This paper gives a dissolution algorithm on relational data model system which has a lossless join and remains function dependency as well.
给出了关系数据模式分解中，既有无损连接性又保持函数依赖的分解算法，并用该算法指导应用软件的开发工作。
This paper gives a dissolution algorithm on relational data model system which has a lossless join and remains function dependency as well.
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