xbfx-matlab2007

我们将通过MATLAB仿真在发送平均功率和传输速率相同的情况下，在传输特性为理想的平的和非平(即存在码间干扰)的信道上，对多载波OFDM和单载波QPSK的误码率进行比较。(We will send the average power by MATLAB simulation and the transmission rate in the same circumstances, in the transmission characteristics of the ideal of peace and non-flat (as is the inter-symbol interference) of the channel, multi-carrier OFDM and single carrier QPSK BER rates were compared.)

将像素数据写成一幅PPM格式的图片，像素数据为灰度图的数据，附件里有一个图像数据，宽150，高90，共100帧(The data will be written in a grayscale image PPM format, the program is written in matlab, the file contains a grayscale data.)

This Script Comparison MIMO scheme.And Compares the 1X1 2X2 3X3 4X4

Matlab implementation of Moore reverberation algorithm, function module

说明：  自己编的一个GM11模型程序，里面包含了加和等基本的MATLAB编程(Own a series of the GM11 model program, which includes Canada and other basic MATLAB programming)

VMD.分解程序-将序列分解为多个子序列，用于风速风功率等新能源预测(VMD. Decomposition Procedure - Used for Predictive Use.)

32阵元的MUSIC算法，基于特征空间分解，内有详细说明，供大家参考。(32 Element MUSIC algorithm, based on the decomposition of space, which is described in detail, for your reference.)

Modern coding theory book

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)

In this directory, we can find the eleven files. The relationship between file name and the number of program written in the book is shown in as follows.