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该程序能够根据使用者的需要，通过调用相关的函数，完成数组的输入和输出，计算出该数组数据的平均值并输出。(The program can be based on user needs, by calling the related functions, complete the input and output of the array, the array data to calculate the average value and output.)

论文仿真原型程序,仿真四种（ZF,ZF-SIC,MMSE,MMSE-SIC） Vblast接收的检测性能，绘制误比特率～信噪比曲线。 发端初始化=============================================================== 发射天线数tx,接收天线数rx,发射矩阵长度L(帧长) ( Paper prototype simulation procedures, simulation of four (ZF, ZF-SIC, MMSE, MMSE-SIC) Vblast detection receiver performance, bit error rate mapping ~ SNR curve. Initialize the originator ============================================= number of transmission antennas ================== tx, a number of receiving antennas rx, fired matrix length L (帧长))

维纳滤波matlab源码，输入参数需为读出的一维语音文件，横向量(Wiener filtering matlab source)

前面搞错了,把五个文件一起打包上传了,现在一个一个传 预加重声波在噪声信道内传输 模拟程序 程序头上有详细的注释和使用说明(Made a mistake in front of the pack with five file upload, and now a mass of a pre-emphasis acoustic noise within the transmission channel simulation program procedures detailed head notes and use)

This is the machine-generated representation of a Handle Graphics object and its children. Note that handle values may change when these objects are re-created. This may cause problems with any callbacks written to depend on the value of the handle at the time the object was saved. This problem is solved by saving the output as a FIG-file.

this program helps you to perform signal modeling for AR, MA and ARMA signals

讲解转子动力学相关知识，非常有助于学习转子动力学，对研究转子相关特性有较大帮助,还有自己编写的相关MATLAB程序(To explain the knowledge of rotor dynamics, is very helpful to learn rotor dynamics, to study the rotor-related characteristics of a greater help)

96全国数模竞赛a题，使用matlab编程求解得到结果(96 national model competition a title)

matlab 入门教程 适合刚入门的学生学习(matlab Tutorial)

支持向量机非线性回归通用MATLAB源码本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear function approximation, data modeling, prediction, classification and other applications)