英语释义

1. lumen

2. Legion of Merit

3. lunar module

片语

Cambridge LMS剑桥学习管理系统

LMS algorithmsLMS算法

LMS算法LMS algorithm

Levamisole LMS左旋咪唑

LMS LevelMeasuringSet电平测量装置

LMS LocalMeasuredService本地标準服务

CiscoWorks LMS管理系统

Fast LMS与频域快速

英汉例句

• LMS algorithm is of lower complexity but poor convergence performance.

  LMS算法复杂度低，易于实现，但是收敛性能较差。

• If you expect your organization to be on a tight budget for the foreseeable future, then LMS could be an attractive choice.

  如果期望您的企业在可预测的未来一段时间里的预算不是很高，那么LMS将是一个极具吸引力的选择。

• Workplace Collaborative Learning 2.5 and LMS 1.0.5 use the same base code and thus are virtually identical products in many ways.

  WorkplaceCollaborativeLearning 2.5和LMS1.0.5使用相同的代码，因此在许多方面它们实质上是相同的产品。

• In this section, we compare the application and directory server requirements to run Workplace Collaborative Learning 2.5 and LMS 1.0.5. First, let「s look at application server platforms supported.

  在这一节中，我们将比较运行WorkplaceCollaborativeLearning 2.5和LMS1.0.5需要的应用程序和目录服务器。

• The effects of finite word length in LMS adaptive noise canceller are discussed.

  本文讨论了LMS自适应噪声对消器的有限字长效应。

• Based on a novel windowed overlapping adaptive filter, LMS algorithm with overlapping idea is introduced.

  基于一种带窗重叠自适应滤波器，将重叠滤波思想引入LMS算法。

• Up to this point in the article, we」ve been explaining how LMS and Workplace Collaborative Learning are largely the same.

  本文就这一点已经解释了LMS和WorkplaceCollaborativeLearning在很大程度上是相同的。

• IBM quickly released four portlets to interface with LMS 1.0.2 in the background via the existing Web Services API.

  IBM迅速发布了4个portlet，通过现有的WebServicesAPI在后台与LMS1.0.2连接。

• The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence.

  训练阶段的相关算法与工作阶段的LMS算法可结合在同一个横向滤波器结构中，从而加速了自适应信道估计器的收敛过程。

• In early 2004, LMS 1.0.3 was released in conjunction with Workplace Collaborative Learning 2.0.

  在2004年年初，LMS1.0.3与WorkplaceCollaborative Learning 2.0一起发布。

• For Moodle and Martin Dougiamas (lead developer and founder), it's the release of Moodle 2.0 that focuses on refining the LMS and positioning collaboration (rather than publishing) as its main focus.

  对于Moodle和MartinDougiamas(首席开发者和创始人)来说，Moodle 2.0版本聚焦于LMS的重新定义，并将其焦点定位于协作(而非发布)。

• LMS fit well with OSS because these solutions have education at their heart, making it even more important that institutions have key input.

  OSS很适合LMS，因为这些解决方案具有教育内涵，而机构的关键投入使它更加重要。

• Architecture and design documentation for the LMS was created, specifically.

  创建了LMS架构和设计文档，具体如下。

• Think about the following questions when deciding between Workplace Collaborative Learning 2.5 and LMS 1.0.5.

  当要在WorkplaceCollaborativeLearning 2.5和LMS1.0.5之间作出选择时，请仔细考虑下列问题。

• User partitioning is a way to segregate user data in LMS and prevent users in one organization from seeing data for students in another organization.

  用户划分是分离lms中用户数据的一种方法，并防止一个组织中的用户查看另一组织中的学生的数据。

• In summary, LMS is simpler to implement and learn, has proven to scale for more than 1,000 concurrent users, and has been on the market for more than three years.

  总而言之，LMS更容易实现和学习，并且已证明其并发用户数可以超过1,000个，LMS推向市场的时间已经超过三年。

• LMS 1.0.5 SP2 is currently on target for the second half of 2005, and additional service packs are planned in 2006.

  LMS1.0.5SP2準备在2005年的下半年发布，并计划在2006年发布附加服务包。

• Environments that may want to install LMS now and eventually migrate to Workplace Collaborative Learning should consider the potential costs involved in this future migration.

  如果现在想在您的环境中安装LMS并最终迁移到WorkplaceCollaborativeLearning，那么应该考虑以后迁移过程中所涉及到的潜在费用问题。

• The good news, however, is that internal testing shows that less powerful hardware is required to support 1,000 concurrent users in Workplace Collaborative Learning 2.5 than is needed for LMS 1.0.5.

  尽管如此，值得庆幸的是，内部测试显示要支持 1,000 个在线用户，与 LMS 相比，WorkplaceCollaborative Learning 2.5需要的硬件需求较低。

• IBM has announced that no new features will be added to the LMS code stream.

  IBM已经宣布，将不会添加新的特性到LMS代码流中。

• The normalized LMS (NLMS) algorithm is a current algorithm usually used in an adaptive noise canceller.

  归一化lms (NLMS)算法是目前自适应噪声对消器中常用的一种算法。

• You do not need, nor should you expect, an LMS to solve this problem.

  你并不需要一整套的学习管理系统来解决你的问题，你也没必要期待它。