搜索资源列表
EmEstimate
- 给定独立同分布样本集，用matlab编程实现EM算法进行参数估计-Given the independent and identically distributed sample set, using matlab programming EM algorithm to estimate parameters
EM
- 用于估计未知数据的EM算法，即最大期望算法，用到的地方很多，可用来做同步。-The data used to estimate the unknown EM algorithm, that is the maximum expectation algorithm, used in many places, can be used for synchronization.
EM_1D
- 一维EM算法MATLAB实现，两分支高斯混合模型，均值和方差都不相同。-one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches.
bishecode
- 这个程序是用在LDPC加EM中的，自己编的有很好的性能，用来估计依稀未知的参数，比如相偏频偏之类的-This procedure is used in LDPC EM in Canada, his series have good performance, used to estimate the unknown parameters vaguely, such as phase offset of the class of partial
NDA_EM_qpsk
- 采用EM，期望最大方法，估计QPSK调制方式下的信噪比-Using EM, expectation maximization method to estimate the signal to noise ratio under QPSK modulation
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
KalmanAll
- 关于卡尔曼滤波的matlab代码，其中包含了滤波的主算法，以及使用EM查找最大可能的估计参数，随机样本-Kalman filter matlab code, which contains the main algorithm filtering, and the use of EM to find the best possible estimate parameters of a random sample, etc.
EM11
- EM算法用于混合高斯模型的估计。算法结构清晰，有详细的中文说明。条理清晰。保证能够运行出来。-EM algorithm is used to estimate the Gaussian mixture model. Clear algorithm structure, a detailed descr iption of the Chinese. Guaranteed to run out.