30-Bus-Network2---Kabiri

Random matrix theory - for communication systems.(Random matrix theory-for communication's ystems.)

matlab图像分割，很有参考价值的一篇文章。希望大家可以好好看看！(matlab image segmentation, great reference value of an article. I hope we can have a good look!)

the james lesage s toolbox for spatial econometrics

Is not a sourcecode or document. IT IS A DIRECT SHEAR TEST BOOK FOR STUDNETS TO CONDUCT LAB WORKS

数字信号处理课设：窗函数法设计一个数字带通FIR滤波器(Based digital signal processing class: window function method to design a digital FIR band-pass filter)

利用MATLAB实现雷达对抗技术中折叠信道化接收机测频的仿真(Using MATLAB Radar technology folding against channelized receiver Frequency Measurement Simulation)

说明：  数值分析newton算法的matlab实现(Numerical analysis matlab newton algorithm implementation)

通过主成分分析和偏最小二乘分析，然后画出数据的PCA主轴和PLS主轴(Principal component analysis and partial least squares analysis, and then draw the PCA and PLS spindle axis data)

matlab绘图程序，基本绘图命令的使用（赋使用方法）(matlab drawing program, the basic drawing commands use (enabling the use of method))

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.