搜索资源列表
lognormal
- Maximum Likelihood estimation for lognormal pdf
normal
- Maximum likelihood estimation for normal
rayleigh
- Maximum likelihood estimation for rayleigh function
mix_gaussian
- Maximum likelihood estimation for mixed gaussian function
beiyesi
- 1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 -1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
comparisonof3combining
- 最大比合并功能实现，简单代码，容易看懂，MATLAB源代码-Functions to achieve the maximum ratio combining, simple code, easy to understand
EMALGORITHM
- In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterati
EM_Algorithm
- EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set. -EM algorithm is to solute the problem of parame
GMMforLabData_DPSK
- 用于均衡DPSK信号的JD-MLSE算法，为matlabb程序，输入DPSK解调的两路信号，判决得到所需的bit序列，并计算误码率-It s used for electronical equalization based on joint-decision maximum likelyhood estimation (i.e. JD-MLSE).
max_likehoodL
- 递推极大似然法求解模型参数,matlab例程 -maximum likehood estimation for the parameter of the modal
MaxClique
- Miscrosoft Visula Studio .NET + C++求解最大团问题，并比较了求解最大团问题的几种算法。-Miscrosoft Visula Studio. NET+ C++ solve the maximum clique problem, and compared the maximum clique problem solving algorithms.
ML-CFAR
- 高频雷达 目标检测 最大似然恒虚警方法 可用于weibull分布下的检测-High-frequency radar target detection maximum likelihood constant false police weibull distribution method can be used to detect under
fit_ML_log_normal
- fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b)
fit_ML_normal
- fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u
fit_ML_rayleigh
- fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!. Given the samples of a rayleigh distribution, the PDF parameter is found fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s wit
cml
- Constrained Maximum Likelihood Estimation
Ostergard_A-New-Algorithm-for-the-Maximum-Weight-
- Given a graph, in the maximum clique problem one wants to find the largest number of vertices any two of which are adjacent. In the maximum-weight clique problem, the vertices have weights, and one wants to find a clique with maximum weight. A
bpsk
- 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。-There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algori
svd
- 利用奇异值分析，进行最大协方差分析，得到两个物理量的相互关系。-Use of singular value analysis, the maximum covariance analysis, the relationship between the two quantities.
MAP
- 数字通信中的最大后验概率算法，课用于通信仿真。-Maximum Posteriori Probability