ID 原文 译文
47836 定义了GM(1,1)模型的4种基本形式:均值GM(1,1)模型(even grey model,EGM)、原始差分GM(1,1)模型(original difference grey model,ODGM)、均值差分GM(1,1)模型(even difference grey model,EDGM)和离散GM(1,1)模型(discrete grey model,DGM),并深入研究了不同模型的性质和特点,证明了不同形式的模型相互等价。 Defines the GM (1, 1) model of the four basic forms: average GM (1, 1) model (even grey model, EGM), the original difference GM (1, 1) model (the original difference grey model, ODGM), the mean difference GM (1, 1) model (even difference grey model, EDGM) and discrete GM (1, 1) model (discrete 'grey model, the Internet), and further study of the nature and characteristics of different models, proved that the different forms of model equivalent to each other.
47837 通过对齐次指数序列、非指数增长序列和振荡序列的模拟分析,明确了不同模型的适用范围: Through sequence alignment time index, the index of growth and oscillation sequences of simulation analysis, has been clear about the scope of application of different models:
47838 ODGM、EDGM和DGM均适用于齐次指数序列和近似齐次指数序列的情形。 ODGM, EDGM and Internet are applicable to homogeneous sequences and the approximate homogeneous index sequence.
47839 微分、差分混合形态的EGM适宜于非指数增长序列和振荡序列的情形。 Differential and difference in the form of mixed EGM is suitable for the exponential sequence and sequence of oscillation.
47840 相关结论可作为实际建模过程中选择模型的参考和依据。 Relevant conclusions can be used as the actual model reference and basis in the process of modeling.
47841 在Femtocell和Macrocell构成的两层网络中,干扰问题十分突出,传统的研究主要集中在静态的资源分配上,未能有效地提高频谱资源的利用率。 In Femtocell and Macrocell constitute the two layers of network, the interference problem is very outstanding, the traditional research focused on the static resource allocation, failing to effectively improve the utilization rate of spectrum.
47842 基于认知无线电中的频谱感知技术,检测出空洞的频谱资源分配给Femtocell使用。 Based on spectrum sensing technology in cognitive radio, detect the empty spectrum resources allocated to the Femtocell is used.
47843 给出了多用户多天线Femtocell系统的协作频谱感知模型,推导出全局检测概率,在给定虚警概率的前提下,在融合中心基于粒子群优化(particle swarm optimization,PSO)算法优化分配每个Femtocell用户感知信息的权值,最大化系统的全局检测概率,提高频谱资源的利用率。 Gives the multi-user collaborative spectrum sensing model of multiple antenna Femtocell system, global detection probability is deduced, on the premise of a given false alarm probability, in the center of the fusion based on particle swarm optimization (particle swarm optimization, PSO) algorithm to optimize distribution of each Femtocell users perceive the value of information to maximize global detection probability in the system, improve the utilization rate of spectrum.
47844 仿真结果表明,所提算法能够有效地改善系统的检测性能,具有较好的实时性,适用于实际的两层网络通信系统。 The simulation results show that the proposed algorithm can effectively improve the detection performance of system, and has a good real-time performance, suitable for the actual two layers of the network communication system.
47845 针对一类不确定性输入非仿射的混沌系统,结合模糊逻辑系统、非线性跟踪微分器以及扩展状态观测器,利用反演技术设计了一种新的控制器。 For a class of uncertain input of affine chaotic system, combining with the fuzzy logic system, the nonlinear tracking differentiator and extended state observer, using inversion technology to design a new controller.