The method which combines cross correlation detection with chaos theory to detect the weak signals relative to central frequency in overvoltage monitoring is proposed in the paper.
提出将互相关检测和混沌理论相结合应用于过电压监测中的频率跟踪，检测相对于中心频率极小的微弱信号。
It is a blind detection watermark since we detect watermark by position key and chaos sequence key without original image.
水印的相关检测只需要知道位置密钥和混沌序列密钥，不需要原始图像的参与，因而是盲检测水印方法。
The computer simulation showed that the proposed method can detect not only the strong signals but also the weak signals in the powerful chaos and noise with great stability and reliability.
计算机仿真实验表明，这种方法不仅能检测出能量较大的信号，而且对淹没在强混沌和噪声背景下的微弱信号的检测也具有高度的稳定性和可靠性。
Covariance is used to detect watermark, which may reduce the influence of initial data or chaos in partially.
在水印检测中使用协方差方法，尽可能地减小了原数据或噪声对水印检测的影响。
Covariance is used to detect watermark, which may reduce the influence of chaos.
在水印检测中使用协方差方法，减小了原数据或噪声对水印检测的影响。
Covariance is used to detect watermark, which may reduce the influence of chaos.
在水印检测中使用协方差方法，减小了原数据或噪声对水印检测的影响。
应用推荐