cross-correlation function

基本解释

A kind of online learning algorithm of Neural Network Decoupler based on MIMO cross-correlation function was proposed on the frame of distributed decoupling system .
在分散解耦的系统框架上提出了基于MIMO过程互相关函数的神经网络解耦器在线学习算法。
The algorithm defines a set of cross-correlation function of the MIMO acted as the target function of neural decoupler. The mixing genetic algorithm is adopted to train neural decoupler online.
该算法定义了一组MIMO过程的互相关函数作为神经网络解耦器的指标函数，采用了混合遗传算法在线训练神经网络。
Multiple-access interference(MAI) and beat noise(BN) in coherent time-spreading optical code-division multiple access(OCDMA) system are analyzed according to aperiodic cross-correlation function.
从码字的非周期互相关函数出发，分析异步相干扩时光码分多址（OCDMA）系统的多址干扰（MAI）和差拍噪声（BN）。

互相关函数
For shadow detection and removal, a cross-correlation function method is used. By examples ,it is shown that the algorithm is reliable and effective.
针对阴影的检测与去除,论文采用了基于互相关函数法,并通过实例验证了算法的可靠性和有效性。
电子、通信与自动控制技术
互相关函数
Chaotic sequence has the extreme sensitivity of the initial values and parameters, so that we can get large number of them. Meanwhile, with the length’s increase, chaotic sequences’ autocorrelation and cross-correlation function can be closer to the ideal value statistically.
混沌序列对初始值和参数的极端敏感性,使其数目众多;同时,随着序列长度的增加,混沌序列的自相关和互相关函数的统计值可以接近于理想值;混沌序列具有伪随机特性。
交互关函联数