权重函数 meaning in English
weight function
weighting function
Examples
- The spring constant is replaced by the weighting function .
弹簧常数用权重函数代替。 - We use b - spline smoothing technique to smooth the characteristic function without changing the integral quantity and get a differentiable weight function . the method considerably improves the quality of sampling points
我们用b样条磨光技术在不改变积分值的前提下磨光特征函数，用可微的权重函数代替特征函数，提高了采样的质量。 - To analyze some key technologies of optical network relative with rwa in detail , such as transmission , switching and internetworking ; to emphasize on the research of function , fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering , fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3 . to research the fundamental principle and some problems relative with rwa , including the type of optical network , the type of traffic , the type of service , the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4 . to present reserved light - path and classify network resource such as used , unused and reserved status , to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network , to present new link weight functions dependent on node degree , unused fiber ( s ) per wavelength - layer and routing policies , to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5
详细分析了与rwa相关的光网络关键技术，包括传输、交换、组网等，重点研究了光交叉连接的功能和结构、性能，对其引入的串扰进行了详细分析，选择恰当的器件参数进行了数值模拟，并提出了抑制措施(如双重滤波、优化判决门限、选择恰当的复用波长数) ; 3 .研究了光网络的r认叭的基本原理、与r认叭的几个相关问题(光网络类型、业务类型、流量类型、光网络生存性) 、 r认人算法的分类和比较，具体研究了几种动态r场人算法; 4 .研究了以全光连接建立时间为优化目标的r认认算法，提出预置光路的概念，对网络资源进行状态分类(占用、未占用、预置) ，利用改进的r认叭算法仿真，预置光路可为部分新到的连接请求快速建立连接，从而提高网络性能;研究了以多光纤网络连接阻塞率为优化目标的r认城算法，提出了以节点度数、每个波长分层的空闲光纤数以及路由策略决定的几种链路权重函数，利用基于波长分层图模型的并行r场人算法仿真，利用新的链路权重函数使得算法具有更优的性能，使网络具有更低的连接阻塞率。