C-means

说明：  一个很好的MIMO的信道模型程序，很实用。 没有密码，可以自由下载(A very good MIMO channel model program, it is practical. No password, you can free download)

透视的算法，很好用，非常实用，希望你能有所用(Perspective of the algorithm, useful, very useful, I hope you can be with)

自适应控制使用李雅普诺夫推导自适应律的学习程序(Adaptive control uses Lyapunov to derive adaptive law)

从经典功率谱估计周期图法原理入手，从理论上分析了其存在的局限性，借助Welch算法对其进行修正。依靠Matlab强大的数值分析和信号处理能力，进行实验仿真，比较不同的窗函数，不同的数据长度对Welch法谱估计质量的影响，并分析了造成这些影响的原因。(The paper mainly introduces the principles of Periodogram method of classical PSD estimation,analyzes the deficiency of Periodogram method in theory,and makes use of Welch to amend Perodogram method. By the use of simulation in Matlab, the impacts of different window function and different lenghth of data on estimation quality of Welch are discussed and the reasons of the impacts are analyzed.)

matlab matrix processing functions

说明：  自动控制原理中的波的图的画法以及相关的程序语言(bode matlab)

矩阵分解：将实现矩阵的最优化分解，同时保证矩阵的非负性(matrix Factorization)

matlab应用，定积分不定积分应用的函数说明及实例讨论(matlab applications, the definite integral indefinite integral function descriptions and examples of the application of discussion)

1. 608组样本，第一列数字是标号，第二列数字是出现损坏的时间，第三列表示数据有效性，为0有效 2. 损坏时间是对数正态分布的，需要拟合 3. 求均值80%置信区间 4. 成本为m，价格为s，保证盈利20%，选取保修期 5. 比较保修期和拟合数据的均值 6. 若保修期就是拟合损坏时间的均值，求出利润率 loadd.m：加载样本数据，并选取有效数据 period.m：加载成本、价格数据，计算利润和保修期的关系(1.608 groups of samples, the first number is the label, the second column number is the time to appear damage, the third list shows the validity of the data, which is 0 effective. 2. damage times are logarithmic normal distribution and need to be fitted 3. mean in 80% confidence interval 4. the cost is m, the price is s, the profit is 20%, the warranty period is selected. 5. compare the mean value of the warranty period and the fitting data 6. if the warranty period is to fit the mean damage time, the profit rate is calculated. Loadd.m: load the sample data and select the valid data Period.m: loading cost, price data, and calculating the relationship between profit and warranty period)

Telecom Network Analysis