LTE_channel_model-and-predictor

高等应用数学问题的Matlab求解范例第2版，网上全部都是第一版的，第2版的几乎没有，全部范例是亲自调试过。还包含相应的工具箱。减去你下载工具箱的烦恼。(Higher Applied Mathematics Matlab in example 2, online all the first edition, version 2 is almost all examples of personally debugging. Also contains the corresponding toolbox. Subtract your download toolbox troubles.)

基于Matlab的MIMO通信系统仿真，使用最大似然译码准则。适合初学者使用(Simulation of MIMO communication system based on Matlab, using the maximum likelihood decoding criterion. Suitable for beginners to use )

param factory document factory, may not be null Source Code for Andriod.

基于 BPSK QPSK 16QAM 各种调制方式的matlab仿真代码(Based on a variety of BPSK QPSK 16QAM modulation matlab simulation code)

机器人控制系统的设计及其matlab仿真第7章“机器人滑膜控制”源代码(Source code of the the the design of of the robot control system and its matlab simulation Chapter 7, " robot synovial control" )

说明：  图像数字水印的方案毕业论文，基于dct和dwt的算法(Image digital watermarking scheme graduation thesis, based on DCT and DWT algorithm)

对信号的FFT变换和有随即噪声信号的FFT变换，适合初学者学习(FFT transform of the signal and then noise signal FFT transform, suitable for beginners to learn)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

最大风能跟踪的双馈风力发电田系统的建模。 运用simulink模块对双馈风力发电机系统进行仿真(The maximum wind tracking modeling doubly-fed wind power generation field system. Simulink module using the doubly-fed wind generator system simulation)

该程序集是matlab数值计算程序，包括很多种类(The assembly is the Matlab numerical calculation procedures, including many types of)