MIMO-OFDM-with-matlab

该程序主要用来求解正弦分量的局部方差分维数，便于后续的模式识别方法的分类(The program is mainly used to solve the sinusoidal component of the partial differential side dimension, easy to follow the classification of the pattern recognition method)

编写针对一个搜索点宏块比较的下面两个匹配函数：均方误差(MSE)、绝对值误差(MAD)。函数名直接使用简写。要求当前帧和参考帧的数据均采用二维数组表示。(Writing for a search point macroblock compare the following two matching functions: the mean square error (MSE), absolute error (MAD). The function name directly using shorthand. Requirements of the current frame and reference frame data are used two-dimensional array.)

初学matlab的教程，比较全面，比较实用，此部分为第一部分。(Matlab beginner tutorial, more comprehensive, more practical, this section is the first part.)

Gauss-Elimination method! to solve multiple linear equations with ease

BPSK仿真程序，可以直接运行，保证无错，可统计误码率，观察功率谱变化。(BPSK simulation program can be run directly, to ensure error-free, statistical error rate can be observed power spectrum changes.)

Genetic algorithm for feature selection using GLM

计算钢筋混凝土的曲率-弯矩曲线，并标出了各种特征点(Calculate the curvature of the reinforced concrete- the bending moment curve, and mark a variety of feature points)

Data sets include far more ancillary information than simple tables of numbers and the DataSet Object (DSO) was designed as a generic container that can hold all of this information. The standard DataSet object is similar to a Matlab structure but it is intended to standardize how data is organized and maintained. It was originally designed in 2000 by a consortium of chemical and engineering industry experts to contain the kinds of data that they worked with in real applications. It has been updated numerous times since then to add relevant functionality needed for multivariate analysis of physical science and engineering data.

异步电机调速系统，参考模型神经网络控制器的感应电机转速(Induction motor speed control system, neural network reference model of induction motor speed controller)

关于柯西分布的matlab工具包，包括概率分布函数，反函数等(On the Cauchy distribution matlab toolkit, including the probability distribution function, inverse function, etc.)