Using the rotation feature of Fourier transform,the algorithm turn image rotation into watermark sequence translation,and detect the translation scale using the translation character of the cross-correlation function of random sequences.
该方法将水印序列排列成圆环状,嵌入在图像频谱的中频区域,利用Fourier变换的旋转性质,将图像的旋转转化为水印序列的平移,并利用随机序列的互协方差函数的峰值位置检测出平移尺度,从而正确提取水印。
The co integration tests shows that there exists some long run relationship among M2, the gross industrial production GIP and the nominal rate of interest on one year term loans.
利用互协关系检验（ｃｏ－ｉｎｔｅｇｒａｔｉｏｎｔｅｓｔｓ）的方法，考察我国的货币总量Ｍ０、Ｍ１和Ｍ２与其他主要宏观经济变量之间是否存在一种长期的稳定关系。
Auto-covariance and cross-covariance and bi-cross-covariance of DBL model are evaluated individually in time domain.
对于对角双线性模型 (DBL(p,q,r) m odels) ,利用多元 Wiener- Ito随机积分 ,计算出了输入输出序列的自协方差、互协方差和双互协方差 。
Temporal Constraint Based Specification of Component Interaction Protocols;
基于时序约束的构件交互协议描述
To describe, analyze and verify interaction protocols in multi-agent systems, Object-Oriented Petri Nets was proposed.
为了描述、分析和验证多Agent系统交互协议,提出了一种面向对象Petri网。
Compared with other modeling method,OOCPN can describe the individual behavior characteristic of agent and the complex,concurrent interaction in multi-agent,the paper introduces the modeling for the individual agent and multi-agent interaction protocols with OOCPN.
提出了一种基于面向对象着色Petri网(OOCPN)的多Agent建模方法,与其它建模方法相比,OOCPN可以全面地刻画出Agent的个体行为特征和多Agent间复杂、并行的动态交互,讨论了利用OOCPN进行个体Agent和多Agent间交互协议的建模,并通过对网上智能购物系统的实例分析,展示了OOCPN对多Agent系统的建模能力。
The steady of cross covariance matrix is analyzed, and the essence of data fusion is open out.
给出了基于异质传感器的动态状态矢量融合算法 ,针对两个采用二维理想线性卡耳曼滤波器的异质传感器 ,对融合的互协方差矩阵的稳定性进行了分析 ,揭示了数据融合的本
The authors compute auto covariance, cross covariance and bi cross covariance and obtain spectral density, cross spectral density and bi cross spectral density for LSDBL model.
针对下次对角双线性 (LSDBL)模型进行研究 ,计算出了该模型的自协方差函数、互协方差函数和双互协方差函数 ,在此基础上得到了该模型的谱密度、互谱密度和双互谱密度 。