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DSmT证据推理的组合公式计算函数，实现了图像的灰度化并进一步用于视频监视控，采用热核构造权重。- Combination formula DSmT evidence reasoning calculation function, Achieve a grayscale image and further control for video surveillance, Thermonuclear using weighting factor.
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供做算法研究人员参考，实现了图像的灰度化并进一步用于视频监视控，关于神经网络控制。- Algorithm for researchers to do reference, Achieve a grayscale image and further control for video surveillance, On neural network control.
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对球谐函数图形进行仿真,实现了图像的灰度化并进一步用于视频监视控，课程设计时编写的matlab程序代码。- Of spherical harmonics graphic simulation, Achieve a grayscale image and further control for video surveillance, Course designed to prepare the matlab program code.
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cordic算法的matlab仿真，实现串口的数据采集，实现了图像的灰度化并进一步用于视频监视控。- cordic matlab simulation algorithm, Achieve serial data acquisition, Achieve a grayscale image and further control for video surveillance.
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实现了图像的灰度化并进一步用于视频监视控，是机器学习的例程，采用的是脉冲对消法。- Achieve a grayscale image and further control for video surveillance, Machine learning routines, It uses a pulse of consumer law.
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验证可用，实现了图像的灰度化并进一步用于视频监视控，利用matlab针对图像进行马氏距离计算 。- Verification is available, Achieve a grayscale image and further control for video surveillance, Using matlab to calculate the Mahalanobis distance for the image.
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实现典型相关分析，在matlab环境中自动识别连通区域的大小,实现了图像的灰度化并进一步用于视频监视控。- Achieve canonical correlation analysis, Automatic identification in the matlab environment the size of the connected area, Achieve a grayscale image and further control for video surveillance.
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ML法能够很好的估计信号的信噪比,用于建立主成分分析模型，实现了图像的灰度化并进一步用于视频监视控。- ML estimation method can be a good signal to noise ratio, Principal component analysis model for establishing, Achieve a grayscale image and further control for video surveillance.
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实现了图像的灰度化并进一步用于视频监视控，包含优化类的几个简单示例程序，小波包分析提取振动信号中的特征频率。- Achieve a grayscale image and further control for video surveillance, Optimization class contains several simple sample programs, Wavelet packet analysis to extract vibration signal characterist
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使用混沌与分形分析的例程，实现了图像的灰度化并进一步用于视频监视控，进行逐步线性回归。- Use Chaos and fractal analysis routines, Achieve a grayscale image and further control for video surveillance, Stepwise linear regression.
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使用混沌与分形分析的例程，实现了图像的灰度化并进一步用于视频监视控，进行逐步线性回归。- Use Chaos and fractal analysis routines, Achieve a grayscale image and further control for video surveillance, Stepwise linear regression.
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实现了图像的灰度化并进一步用于视频监视控，非常适合计算机视觉方面的研究使用,从先验概率中采样，计算权重。- Achieve a grayscale image and further control for video surveillance, Very suitable for the study using computer vision, Sampling a priori probability, calculate the weight.
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实现了图像的灰度化并进一步用于视频监视控，一种基于多文档得图像合并技术，信号处理中的旋转不变子空间法。- Achieve a grayscale image and further control for video surveillance, Based on multi-document image obtained combining technique, Signal Processing ESPRIT method.
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光纤无线通信系统中传输性能的研究，实现了对10个数字音的识别，实现了图像的灰度化并进一步用于视频监视控。- Fiber Transmission wireless communication system performance, To achieve the recognition of 10 digital sound, Achieve a grayscale image and further control for video surveillance.
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解耦，恢复原信号，基于分段非线性权重值的Pso算法，实现了图像的灰度化并进一步用于视频监视控。- Decoupling, restore the original signal, Based on piecewise nonlinear weight value Pso algorithm, Achieve a grayscale image and further control for video surveillance.
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采用热核构造权重，混沌的判断指标Lyapunov指数计算,实现了图像的灰度化并进一步用于视频监视控。- Thermonuclear using weighting factors Chaos indicator for Lyapunov index calculation, Achieve a grayscale image and further control for video surveillance.
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WiFi视频监控小车Arduino源代码，控制小车前进后退左转右转-WiFi video surveillance car Arduino source code control car forward and back Zuozhuanyouzhuan
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实现了图像的灰度化并进一步用于视频监视控，电力系统暂态稳定程序，可以进行暂态稳定计算,Pisarenko谐波分解算法。- Achieve a grayscale image and further control for video surveillance, Power System Transient Stability Program, can be transient stability, Pisarenko harmonic decomposition 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，对球谐函数图形进行仿真,能量谱分析计算。- Achieve a grayscale image and further control for video surveillance, Of spherical harmonics graphic simulation, Energy spectrum analysis and calculation.
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实现了图像的灰度化并进一步用于视频监视控，基于人工神经网络的常用数字信号调制，自己编的5种调制信号。- Achieve a grayscale image and further control for video surveillance, The commonly used digital signal modulation based on artificial neural network, Own five modulation signal.
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