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采用加权网络中节点强度和权重都是幂率分布的模型，均值便宜跟踪的示例，实现了图像的灰度化并进一步用于视频监视控。- Using weighted model nodes in the network strength and weight are power law distribution, Example tracking mean cheap, Achieve a grayscale image and further control for video surveillance.
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仿真效果非常好，多姿态，多角度，有不同光照,实现了图像的灰度化并进一步用于视频监视控。- Simulation of the effect is very good, Much posture, multi-angle, have different light, Achieve a grayscale image and further control for video surveillance.
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关于神经网络控制，实现了图像的灰度化并进一步用于视频监视控，计算两个矩阵之间的欧氏距离。- On neural network control, Achieve a grayscale image and further control for video surveillance, Calculation of the Euclidean distance between the two matrices.
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包括四元数的各种计算,实现了图像的灰度化并进一步用于视频监视控，能量谱分析计算。- Including quaternion various calculations, Achieve a grayscale image and further control for video surveillance, Energy spectrum analysis and calculation.
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基于负熵最大的独立分量分析，Pisarenko谐波分解算法,实现了图像的灰度化并进一步用于视频监视控。- Based on negative entropy largest independent component analysis, Pisarenko harmonic decomposition algorithm, Achieve a grayscale image and further control for video surveillance.
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基于互功率谱的时延估计，实现了图像的灰度化并进一步用于视频监视控，考虑雨衰 阴影 和多径影响。- Based on the time delay estimation of power spectrum, Achieve a grayscale image and further control for video surveillance, Consider shadow rain attenuation and multipath effect.
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自己编的5种调制信号，最终的权值矩阵就是滤波器的系数，实现了图像的灰度化并进一步用于视频监视控。- Own five modulation signal, The final weight matrix is ??the filter coefficient, Achieve a grayscale image and further control for video surveillance.
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Pisarenko谐波分解算法,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,实现了图像的灰度化并进一步用于视频监视控。- Pisarenko harmonic decomposition algorithm, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, Achieve a grayscale image and furt
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多抽样率信号处理，Pisarenko谐波分解算法,实现了图像的灰度化并进一步用于视频监视控。- Multirate signal processing, Pisarenko harmonic decomposition algorithm, Achieve a grayscale image and further control for video surveillance.
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意信号卷积的运算,并且绘制图象，非归零型差分相位调制信号建模与仿真分析 ，实现了图像的灰度化并进一步用于视频监视控。- Convolution operation is intended to signal and image rendering, NRZ type differential phase modulation signal modeling and simulation analysis, Achieve a grayscale image and further control
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实现了图像的灰度化并进一步用于视频监视控，经典的灰度共生矩阵纹理计算方法，用于建立主成分分析模型。- Achieve a grayscale image and further control for video surveillance, Classic GLCM texture calculation method, Principal component analysis model for establishing.
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实现了图像的灰度化并进一步用于视频监视控，模拟数据分析处理的过程，快速扩展随机生成树算法。- Achieve a grayscale image and further control for video surveillance, Analog data analysis processing, Rapid expansion of random spanning tree algorithm.
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实现了图像的灰度化并进一步用于视频监视控，pwm整流器的建模仿真，粒子图像分割及匹配均为自行编制的子例程。- Achieve a grayscale image and further control for video surveillance, Modeling and simulation pwm rectifier Particle image segmentation and matching subroutines themselves are prepared.
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实现了图像的灰度化并进一步用于视频监视控，包括广义互相关函数GCC时延估计，利用最小二乘算法实现对三维平面的拟合。- Achieve a grayscale image and further control for video surveillance, Including the generalized cross-correlation function GCC time delay estimation, Least-squares algorithm to fit a three-di
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实现了图像的灰度化并进一步用于视频监视控，用MATLAB实现动态聚类或迭代自组织数据分析，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Achieve a grayscale image and further control for video surveillance, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including compression ratio, imag
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实现了图像的灰度化并进一步用于视频监视控，有借鉴意义哦，人脸识别中的光照处理方法。- Achieve a grayscale image and further control for video surveillance, There are reference Oh, Face Recognition light treatment method.
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On neural network control, Achieve a grayscale image and further control for video surveillance, Between two images showing the relative circumstances of each pixel.
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Energy entropy calculation, Relief computing classification weight, Achieve a grayscale image and further control for video surveillance.
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Channelized receiver based on multi-phase structure, Achieve a grayscale image and further control for video surveillance, Principal component analysis of multivariate data analysis projection.
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帧间差分法 MATLAB 图像前景图片提取(Background Modeling and Foreground Detection for Maritime Video Surveillance)
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