文中利用对称相关函数理论，分析了抵消平稳随机过程中与信号不相关的加性随机噪声的机理，并应用于线谱信号检测。
The theory of symmetrical function is used to suppress additive stationary random noise; assumption is that the signal and the noise are mutually uncorrelated.
在加性噪声情形下，惩罚函数方法是一种简洁有效的谐波信号个数估计方法。
Penalty function based method is a very effective method to estimate the number of sinusoid in presence of additive noise.
根据群体基数效用函数的加和性，用距离表示群体的损失函数，建立了资源分配群体决策的重心模型。
A barycenter model of group decision making on resource allocation is constructed in this paper using groups loss function based on the additive kind of group cardinal utility function.
根据群体基数效用函数的加和性，用距离表示群体的损失函数，建立了资源分配群体决策的重心模型。
A barycenter model of group decision making on resource allocation is constructed in this paper using group's loss function based on the additive form of group cardinal utility function.
过程的动态特性用传递函数加纯滞后描述，用频域法分析了算法的稳定性，并给出了鲁棒稳定界，仿真验证了算法的有效性。
The stability of the algorithm is analyzed by method in frequency domain, and the stable boundary of robustness is given. The effectiveness of this algorithm is verified by simulation.
通功引入权值交难害得亡加解数和权值交难害得函数，使得算法无较好的扩铺性和逆当性。
By introducing weights transaction losses attenuation coefficient and the weights transactions loss function, Algorithm makes a better scalability and adaptability.
结果表明径向基函数网络在学习速度，预测准确性及网络推广能力方面均优于BP网络，本文方法可用于加筋支挡结构的设计参考。
The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.
结果表明径向基函数网络在学习速度，预测准确性及网络推广能力方面均优于BP网络，本文方法可用于加筋支挡结构的设计参考。
The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.
应用推荐