搜索资源列表
twoGuass
- 通过二维高斯分布密度函数的模型的搭建,调用模型即可得到结果-By building the model of the density function of the Gauss distribution, the model can be obtained.
plot_normal
- 已知参数mu和sigma,来绘制正太高斯分布-Known parameters Mu and Sigma, to draw a Gaussian distribution
fit_mix_gauss
- 对参数使用最大期望算法进行拟合成混合型高斯分布。-fit parameters for a mixed-gaussian distribution using EM algorithm
2014210479gau
- 利用C++,利用产生高斯随机数的原理,通过高斯分布产生随机数-Gaussian random numbers generated
mian-re-yuan
- fluent软件UDF,用于焊接过程模拟,是高斯分布的面热源。-weld heart source
kalmanf
- 卡尔曼滤波的简单举例程序,可以实现卡尔曼滤波对随机高斯分布干扰的滤波。-Kalman simple example program, you can realize the Kalman filter for filtering the random Gaussian interference.
rand
- 通过算法产生均匀分布、瑞利分布、高斯分布的数列-Parameter uniform, Rayleigh distribution, Gaussian distribution columns
EMAlgorithm
- 运用EM算法生成任意条件下的二维高斯分布-Using the EM algorithm to generate a two-dimensional Gaussian distribution in any condition
gaussian
- 用labview创建了模拟光束,其光强分布近似高斯分布.-use labview to create a light beam
MHAlgorithm
- 运用Metropolis-Hasting算法生成任意的二维高斯分布-Use Metropolis-Hasting algorithm to generate an arbitrary two-dimensional Gaussian distribution
pattern-classification
- 对两个高斯分布的样本进行分类,绘制其三维椭球及其决策面-Two Gaussian distributions of the sample were classified, draw three-dimensional ellipsoid and decision surfaces
GMM-GMR-v2.0
- 利用混合高斯模型对背景图像进行建模,所谓“混合高斯”的意思就是每个像素都是由多个单高斯分布混合组成的。-Name of the file which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA s nvbin are supported for HAAR and only new type of OpenCV XML ca
liu1
- 时域稀疏的简单信号进行仿真,滤波器系数服从高斯分布-Time-domain signal sparse simple simulation Gaussian filter coefficients
tiaozhi
- 无线通信系统仿真作业,伪随机数,高斯分布随机数,信道仿真。。。8psk 16qam调制解调-The wireless communication system simulation work, pseudo-random number, Gaussian random number, channel simulation. . . 8psk 16qam modem
GMMPEM
- 代码给出了高斯分布下的EM算法的设计与实现-Code gives the design and implementation of a Gaussian distribution under the EM algorithm
npbayes
- 剑桥大学无参数贝叶斯课程的代码,主要包括狄利克雷过程,主题模型,无限混合高斯分布等-code of nonparametric bayesian cambridge, include dirichlet process, topic model, infinite mixutre gaussian
RandonNumber
- 随机噪声生成程序,包括高斯分布、随机分布、泊松分布三种分布,适用于各种信号处理的信号生成添加噪声-Random noise generator, including a Gaussian distribution, random distribution, distribution of three types of Poisson distribution, for a variety of signal processing of adding the noise signal genera
DOE整形-GS-环形
- 利用DOE器件将呈高斯分布的激光整形为环形分布
2
- 本实验主要是分析高斯白噪声的样本自相关序列的估计精度。 a. 生成1000个零均值、单位方差的高斯白噪声,并用bar函数来画出直方图,与理想的高斯分布函数相比较; b. 采用xcorr函数的有偏估计来估计前100个自相关序列,用Plot函数画出该自相关序列,与理想的高斯白噪声的自相关序列相比。 c. 把这组数据分成互不重叠的10段,每段有100个样本。分别对每段数据采用b中的方法来估计前100个样本自相关序列,然后对10段的自相关序列进行平均。获得的结果与b中的结果相比,并与真实的自
ban
- 经典算法, 用来表示 高斯分布随机数源代码 -Classical algorithms, used to denote Gaussian random number source code