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本论文包含5个源程序，分别为LSBCut、LSBCollage、DCTCut、DCTCollage和PSNR，其中LSBCut实现了LSB水印算法的剪切篡改的检测、LSBCollage实现了LSB水印算法的拼贴篡改的检测、DCTCut实现了DCT水印算法的剪切篡改的检测、DCTCollage实现了DCT水印算法的拼贴篡改的检测、PSNR功能是计算嵌入水印嵌入的峰值信噪比，以此来说明嵌入水印后图像载体的失真大小。LSBCut、LSBCollage、DCTCut、DCTCollage是独立的程序，每
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包括回归分析和概率统计，有循环检测，周期性检测，具有丰富的参数选项。- Including regression analysis and probability and statistics, There are cycle detection, periodic testing, It has a wealth of parameter options.
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采用了小波去噪的思想，包括回归分析和概率统计，大学数值分析算法，应用小区域方差对比，程序简单，有循环检测，周期性检测，时间序列数据分析中的梅林变换工具。
- Using wavelet denoising thought, Including regression analysis and probability and statistics, University of numerical analysis algorithms, Application of small area var
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采用了小波去噪的思想，包括回归分析和概率统计，大学数值分析算法，应用小区域方差对比，程序简单，有循环检测，周期性检测，时间序列数据分析中的梅林变换工具。
- Using wavelet denoising thought, Including regression analysis and probability and statistics, University of numerical analysis algorithms, Application of small area var
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从先验概率中采样，计算权重，含噪脉冲信号进行相关检测,插值与拟合，解方程，数据分析。- Sampling a priori probability, calculate the weight, Noisy pulse correlation detection signal, Interpolation and fitting, solution of equations, data analysis.
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根据目标RCS起伏的特征给出相应的检测概率计算方法。书中常用的办法(According to the characteristics of the fluctuation of the target RCS, the corresponding detection probability calculation method is given. Common methods in books)
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关于雷达检测的一些基本知识的仿真，包括各种检测概率的仿真，如起伏目标检测，检测累计概率，CFAR(Simulation of some basic knowledge about radar detection, including simulation of various detection probabilities, such as undulating target detection, detection cumulative probability, CFAR)
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基于高斯分布的CFAR检测算法(双参数CFAR检测)，输入一个确定的虚警概率，在满足一定虚警率的情况下对图像进行分割，实现目标与背景的分离。(The CFAR detection algorithm based on Gauss distribution (two-parameter CFAR detection) inputs a certain false alarm probability, and segmentes the image to achieve the separation
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Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detectio
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The complex Wishart distribution is used to describe synthetic aperture
radar (SAR) data in the so-called covariance matrix representation.
We give a test statistic for detection of differences between two
instances in this distribution and an associ
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