MATLABshipin

这个还不错，对自己的matlab水平会有明显的提高(great)

文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(File contains three subfolders: dec.m, test_dec.m, recon.mdec.m using MATLAB language to prepare yourself wavelet decomposition algorithm test_dec.m using MATLAB language testing dec.m document I have written Mallat wavelet decomposition algorithm correctly recon.m use of MATLAB language to prepare yourself Mallat reconstruction algorithm function using the MATLAB language, do not call the MATLAB wavelet decomposition function, but do-it-yourself prepared Mallat wavelet algorithm with noise signal decomposition, reconstruction This is the wavelet Decomposition of the beginners, have a better understanding of the guiding role of wavelet decomposition.)

关于MIMO OFDM不同发射和接收的天线数目下的系统容量的仿真(Firing as for MIMO the OFDM dissimilarity and under the recipient number of aerials of the imitating of system capacity is really)

可以利用c#读取segy数据，对地震初学者有很大的用处。(Can use c# read segy data, are of great use for the beginners of the earthquake.)

OFDM信号的时间偏差校正程序，用于估计OFDM信号的时间偏差(OFDM signals in time warp correction procedure used to estimate the OFDM signals in time warp)

本资料详细介绍了MATLAB在自控的应用，希望会对大家有用！(This information is described in detail the application of MATLAB in control, I hope will be useful for everyone!)

说明：  这是多重信号分类的经典算法，仔细阅读，希望有所帮助，欢迎各位下载！(This is a classic multiple signal classification algorithm, carefully read, I hope be helpful, to welcome you all to download!)

大规模MIMO系统导频分配问题的一种分配方案基础性的代码(A fundation method of pilot arrangement on massive MIMO)

用matlab做面积法系统辨识,matlab源码，经过测试，程序辨识准确率高。(use matlab to sovle the problem of system identification by using area method)

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain.(This paper deals with the problem of speech enhancement when only a corrupted speech signa l is available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) model and represented in the s tate-space domain.)