chazhi

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 iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

simulation of fuel cell -part1

pathloss model in telecomunication example: free space, indoor pathloss, outdoor pathloss

一般室内信道模型，利用瑞利衰落通过10000次信道得到2径模型，并生成指数模型，程序齐全，脚本都在里面，有中文注释(The general indoor channel model uses Rayleigh fading through 10000 channels to get the 2 path model and generate the exponential model. The program is complete, the script is in it, and there are Chinese annotations.)

L-M,BP网络算法，用matlab语言编译(LM, BP network algorithm with matlab compiler)

PHD谐波分解，大家可以尝试下，希望对大家有所帮助(PHD harmonic decomposition, we can try, we hope to help)

matlab coding that enable

BPSK的Matlab简单仿真，得到理想情况下的误码曲线(BPSK仿真之matlab)

利用空间平滑技术的多重信号分类MUSIC算法，在matlab环境下实现(The use of spatial smoothing technique multiple signal classification MUSIC algorithm in matlab environment to achieve)

Pedagogy Pedagogy Pedagogy