Capture

This code from Matlab central file

详细介绍了ofdm的发送模块、接收模块及信道估计(Ofdm described in detail the transmission module, receiver module and Channel Estimation)

显示一个经验概率密度函数在输入数组中的密度分布直方图X的使用nbins箱的数目（默认pdfplot套nbins至20）。如果输入X是一个矩阵，然后pdfplot（X）的分析它的载体，并显示所有值的PDF格式。对于复杂的输入X，pdfplot（X）的显示PDF格式的(displays a histogram of the empirical probability density function (PDF) for the data in the input array X using nbins number of bins (by default pdfplot sets nbins to 20). If input X is a matrix, then pdfplot(X) parses it to the vector and displays PDF of all values. For complex input X, pdfplot(X) displays PDF of abs(X). )

matlab安装教程,帮助安装matlab2009b,其中做出来版本说明.(Matlab installation, the installation of matlab2009b help, which made version. )

结构动态特征灵敏度分析-特征向量灵敏度。(Dynamic Sensitivity Analysis feature- eigenvector sensitivity.)

matalab实现银行家算法自己写的仅供交流(for learn from each other ，the matlab code by myself .)

一种对DOA参数进行仿真的程序，简单实用 (A kind of simulation parameters on the DOA procedure)

Quadrature Amplitude Modulation (QAM）在MATLAB的仿真和应用(Simulink-based Simulation of Quadrature Amplitude Modulation (QAM)

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.

设有一长直矩形(a*2a)接地金属槽，上盖板对地绝缘ф1=10，侧壁，底ф2=0，求槽内的电位分布。用有限单元法求解。(Grounded metal tank with a long straight rectangular (a* 2a), on the cover insulation ф1 = 10, sidewalls, the bottom ф2 = 0, seeking a slot of the potential distribution. Using the finite element method to solve. )