chap_10

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.

UVW stage rotary table book

file for adaptive nonlinear controle ...

霍夫变换圆检测MATLAB程序 利用霍夫变换进行圆检测的MATLAB代码，带有详细解释，适合新手(Hough transform circle detection procedure using the Hough transform MATLAB circle detection MATLAB code with detailed explanations, suitable for beginners)

高功率放大器的MATLAB模型，代码为John Terry 文章的源码(model of high power amplifier in paper of John Terry)

遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search method, which originally developed by the University of Michigan J.Holland Professor in 1975 first proposed and published an influential monograph " Adaptation in Natural and Artificial Systems" , GA This name was gradually known, J.Holland raised by Professor GA is usually simple genetic algorithm (SGA ).)

雷达回波信号检测，LFM信号，脉冲压缩，MTD，相干积累，长线积累，距离走动，速度模糊(Radar echo signal detection, LFM signals, pulse compression, MTD, coherent accumulation of long term accumulation, walking distance and speed)

这个包包含6个代价敏感神经网络训练算法。(This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble. )

基于2阶消失矩的Daubechies尺度函数的TE波2维MRTD仿真，吸收边界条件为FDTD/PML连接边界。(2D MRTD TE mode baseed on 2nd-vanishing moments of Daubechies scaling function simulation, the absorbing boundary condition is FDTD/PML connection boundary.)

leach program...in matlab