(Ebook)Acoustic-Echo-Cancellation-using-Adaptive-

Beschreibung zur wind turbine Tool Box

《空时无线通信导论》，第四章的所有图片的matlab的重现程序，和仿真结果。仿真程序包括MIMO信道容量、发射端不知晓信道信息时信道容量等程序。(" Introduction to space-time wireless communications," Chapter IV reproduce all the pictures of matlab procedures, and simulation results. The simulation program, including MIMO channel capacity, the transmitter does not know when the channel information channel capacity and other procedures.)

在屏幕上出现一个圆心沿正弦虚线轨迹移动的实心圆。(In the center of a circle appears on the screen a dotted line along the sinusoidal trajectory moving solid round.)

本程序是关于大规模MIMO的一个简单程序，很容易懂。用仿真结果。(This procedure is a simple procedure for large-scale MIMO, it is easy to understand.)

稀疏脉冲反褶积是一种从地震记录中估计振幅和位置的反演方法。(Sparse deconvolution is a pulse inversion method estimates the amplitude and position seismic records.)

FIR的matlab仿真实现与验证，也是matlab中比较典型的程序(FIR of matlab simulation and verification, but also the more typical procedure matlab )

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)

说明：  ① 样本数据从MATLAB命令窗口或新建一M文件作为数据输入文件，样本输入变量名为samin,样本输出变量名samout 样本个数和每个样本的维数可任意，样本输出的个数与样本个数应一致，即保证每个样本都对应一个期望输出，但每个输出的维数不要求与输入的维数相同，可任意； ② 聚类中心的个数（即基函数的个数）可根据实际情况调整；同样可调整参数的还有重叠系数、聚类中心最大更新次数、聚类中心更新终止误差； ③ 训练结束后进行测试时，要求输入的测试数据与样本具有相同的维数，测试数据的个数可任意； ④ 如果训练样本是二维的，则数据中心聚类的结果可用一平面图显示出来；同样测试数据的输出是一维的话也可显示出来； (RBF artifical neual networks)

这是matlab里面的machinelearning工具箱，里面有很多例程方便初学者(This is the Matlab inside machinelearning toolbox, there are a lot of routines to facilitate beginners)

Fitting two dimensional Monod model for bacterial growth.