MCMA_DD-LMS

NIT工具箱二重积分matlab工具箱matlab代做(NIT toolbox matlab toolbox matlab doing some double integrals)

说明：  使用矩阵计算方法的基于Massive MIMO的毫米波信道估计(Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion)

多变量广义预测的控制算法MATLAB代码(Multivariable generalized predictive control algorithm MATLAB code)

基于matlab的OFDM仿真程序； 我再论坛找了很多OFDM的代码和文章,但总有遗患,为什么呢原因是大部分只有简单的映射,IDFTDFT变换等等,但主要的同步和信道估计去没有人提出来,甚至做出来.. 现在我终于找到了一份,它以FUNCTION的形式,再现了OFDM映射,IDFTDFT,同步(时间频率同步)和信道估计,以及频率偏移的估计等一系列代码.(Based on the OFDM matlab simulation program I' ll find a lot of forums and articles OFDM code, but there are left suffering, why because most only simple mapping, IDFTDFT transformation, etc., but the main synchronization and channel estimation to no one proposed, and even do it .. and now I finally found a copy of it in the form FUNCTION, Reproduction of OFDM mapping, IDFTDFT, synchronous (time and frequency synchronization) and channel estimation, and the estimated frequency offset a series of code.)

空间谱估计理论计算法之ESPRIT-DOA，使用了LS—DOA 与TLS-DOA，并对几种常见的DOA方法进行了总结(Spatial spectrum estimation theory calculations of the ESPRIT-DOA, use the LS-DOA and TLS-DOA, DOA and several common methods are summarized)

非线性调频信号的产生和脉冲压缩代码，程序中还给出两种不同的脉压系数，用于分析非线性调频信号处理时，脉压结果的应用。(The generation of nonlinear frequency modulation signals and the code of pulse compression are given. In the program, two different pulse pressure coefficients are given. It is used to analyze the application of the pulse pressure results when the Nonlinear FM signal is processed)

说明：  matlab实现对声音信号短时能量，短时过零率的计算。(matlab voice signals to achieve short-term energy, zero-crossing rate of short-term calculations.)

将状态矢量转换成轨道根数的Matlab源程序，输入是位置速度矢量，输出是轨道根数，有详细的注解(Convert the state vector of the orbital elements of the Matlab source code, enter the location of the velocity vector, the output of the orbital elements, with detailed comments)

此文档介绍了Matlab软件中的一种重要算法--回归分析，并且进行了详尽的介绍和实例举证。(This document describes an important algorithm in Matlab software, and a detailed description and examples of proof.)

In this paper, we consider the use of Modulation Spectra for voice pathology detection and classification. To reduce the high-dimensionality space generated