该方法利用小波变换把流量观测值序列分解成近似系数(approximation coefficients) 和细节系数(detail coefficients)，流量中的奇异性可以在细节系数中检测出来。
基于24个网页-相关网页
·2,447,543篇论文数据，部分数据来源于NoteExpress
使用将软、硬阈值估计的细节系数进行加权平均的细节系数估计方法；
New formulas were given on the thresholds of different scales, the estimated detail coefficients, and the detail coefficients complementing on the largest scale.
关心这些细节的应用程序如出版系统，需要寻求关系数据库之外的方法来存储需要的信息。
Applications such as publishing systems that care about these details need to look beyond the relational database for their information storage needs.
比方说，虽然JDBC DMS需要知道持久性技术(比如关系数据库)，以及如何配置和访问数据，SDO客户机不需要了解这些细节。
While a JDBC DMS, for instance, needs to know about the persistence technology (for example, relational databases) and how to configure and access it, SDO clients need not know anything about it.
应用推荐