搜索资源列表
parzen_window
- 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
cluttertest
- 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
function1
- 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.
RayleighaRice
- 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
imnoise2
- 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
Probability-density-estimation
- 语音信号处理中关于概率密度的估计，分为参数法和非参数法两类。在此基础上用MATLAB做出了仿真。-Speech signal processing on the estimates of the probability density is divided into two types of parametric method and non-parametric method. On this basis, to make the simulation using MATLAB.
K_dis
- 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
meanshift
- 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
zuidashang14
- 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.
MyBayes
- 2.编写两类正态分布模式的贝叶斯分类程序。 设以下模式类别具有正态概率密度函数： ω1：{(0 0)T, (2 0)T, (2 2)T, (0 2)T} ω2：{(4 4)T, (6 4)T, (6 6)T, (4 6)T} （1）设P(ω1)= P(ω2)=1/2，求这两类模式之间的贝叶斯判别界面的方程式。 （2）绘出判别界面。 3.已知服从正态分布的两类训练样本集分别为 ：，，，， ：，，， ，试问属于哪一类？
Random
- 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
NpIca-v1.2
- 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.
imgrayscaling
- 直方图处理，是把给定图像的直方图分布改造成均匀直方图分布，使输出像素灰度的概率密度均匀分布。应信息学的理论来解释，即具有最大熵的图像为均衡化图像。-Histogram processing
Clark_model
- 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
Jakes_model
- 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
Hoeber_model
- 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
CPHD
- 用于多目标追踪的基概率密度假设粒子滤波程序-matlab code for CPHD filter
mle
- 给定数据和相应的概率密度函数、用matlab求解其相应的极大似然估计-Given data and the corresponding probability density function using matlab to solve the corresponding maximum likelihood estimation
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
plot_hist_Prodensity
- 画出数据的histtogram频率分布图及其概率密度函数，其中概率分布图的小区间范围以及整个数据区间的范围均可调-Plot the histtogram and probability density function (PDF) of statistic data which the whole range and subrange of the plot can be adjusted.