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瑞利信道概率密度曲线。比较直观的实现了瑞利信道模拟值和理论值的对比-The Rayleigh Road probability density curve
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用监督参数估计中的贝叶斯方法估计条件概率密度的参数u-Using the supervision parameter estimation in Bayesian method estimates the parameters of the conditional probability density u
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背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联,输出目标轨迹。
MeanShift运动目标跟踪 matlab程序
1.截取跟踪目标矩阵rect
2.求取跟踪目标的加权直方图hist1
3.读取视频序列中的一帧, 先随机取一块与rect等大的矩形,计算加权直方图hist2。
4.计算两者比重函数,如果后者差距过大, 更新新的矩阵中心Y,进行迭代(MeanShift是一种变步长可以迅速接近概率密度峰值的方法),直至一定条件后停止。
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根据伪随机序列理论,由混合同余法产生均匀分布的随机数,进而根据中心极限定理来产生高斯噪声。
分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征,估计其概率密度函数并进行分析,估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。
对该高斯噪声进行FIR低通滤波,估计输出低通型限带白噪声的功率谱、相关时间等,并结合白噪声通过线性系统相关理论来进行分析。
-According to the theory of pseudo-random sequence, a
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采用parzen窗函数方法对待估计的均值为0,方差为1的正态密度函数,随机抽取若干样本,估计概率密度函数-Window function method using parzen treat the estimated mean and variance of the normal density function, randomly selected from a number of samples, the estimated probability density function
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对一组数据进行统计形态分析,包括概率密度函数,功率谱,分布曲线4参数等-The statistical form a set of data analysis, including probability density function, power spectral distribution curve parameters
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这是处理随机信号的比较经典且比较全面的代码。其中囊括了求解功率谱密度,概率密度,相关函数等等一系列的问题。-This is the classic and more comprehensive code dealing with random signals. Which include solving the power spectral density, probability density function, and so a series of problems.
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A blind source separation algorithm is proposed
that is based on minimizing Renyi’s mutual information by means
of nonparametric probability density function (PDF) estimation.
The two-stqge process consists of spatial whitening
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包含有Rayleigh信道、Rice信道和Lognormal分布的生成函数,以及依次产生具体信道并与理论概率密度分布曲线对比的程序-Contains Rayleigh channels, Rice channels and Lognormal distribution generating function, and in turn produce specific channel and theoretical probability density distribution curve co
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能够生成一个具有确定概率密度分布函数的数组-Able to generate an array of determining the probability density distribution function
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海杂波相关K分布建模,使用球不变随机过程方法实现,概率密度曲线和功率谱-K distribution of sea clutter modeling spherically invariant random process method, the probability density curve and power spectrum
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Mean Shift是一种最优的寻找概率密度极大值的梯度上升方法,利用核概率密度描述目标的特征可以应用于目标跟踪技术,本程序实例即是基于Mean Shift原理进行目标跟踪,搜索目标位置。-Mean Shift is to find an optimal increase in the gradient of the probability density maxima nuclear probability density describing the target feature targe
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最大熵,求概率密度分布。目前的程序问题,是初始值选取需要完善。希望高手能解决。-The maximum entropy seeking probability density distribution. The current program, the initial value selected to be perfected. Expert can solve.
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The optimal quantization tables for Gaussian, Rayleigh and Laplacian probability density functions.Uniform quantizer is optimal for uniform distribution source, not for other distribution.The procedure is based on a Lloyd-Max iteration.
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根据概率密度函数及参数产生随机数,正态分布可以直接产生-According to the probability density function and parameters to generate random numbers, normal distribution can be directly generated
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基于非参数概率密度估计的盲源分离算法(NpICA),使用matlab编程,有可视界面。-Non-parametric probability density estimation-based blind source separation algorithm (NpICA), using the Matlab programming, visual interface.
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MVAcauchy plots three probability density functions (left) and three cumulative density functions (right) of the Cauchy distribution with m = 0 and different scale parameters (C1 stands for a Cauchy distribution with s = 1, etc).
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Clark无线通信信道模型仿真的Matlab源程序,采用SOS仿真方法。程序内容包括:时变信道的幅度的实部和虚部,幅度概率密度函数,自相关函数,功率谱密度。-Simulation of Clark wireless communication channel model of the Matlab source code, using SOS simulation method. The program includes: the real and imaginary parts of time
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Jake s无线通信信道模型仿真的Matlab源程序,采用SOS仿真方法。程序内容包括:时变信道的幅度的实部和虚部,幅度概率密度函数,自相关函数,功率谱密度。-Simulation of Jake s wireless communication channel model Matlab source code, using SOS simulation method. The program includes: the real and imaginary parts of time-var
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Hoeber无线通信信道模型仿真的Matlab源程序,采用SOS仿真方法。程序内容包括:时变信道的幅度的实部和虚部,幅度概率密度函数,自相关函数,功率谱密度。-Simulation of Hoeber wireless communication channel model of the Matlab source code, using SOS simulation method. The program includes: the real and imaginary parts of ti
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