fig3_m

chapter 2 matlab exercise sutton book

Wind Turbine exampel

wireless sensor network

说明：  能够实现模型预测功率控制，提高直接功率控制的稳态以及动态性能(It can realize model predictive power control and improve the steady-state and dynamic performance of direct power control)

说明：  对一个数组进行操作，删除其中的0元素！ 输入：数组、相应的列Index。 输出：删除0元素之后的新数组！(Operate on an array, delete the 0 element! Input: an array, the corresponding column Index. Output: 0 elements after the deletion of a new array!)

利用matlab里面的吹风机数据，用前300个数据进行辨识。分别采用最小二乘辨识和arx辨识。并画出图形。(Use a hair dryer inside matlab data before using 300 data identification. Respectively, using the least squares identification and arx identification. And draw graphics.)

对码元序列进行基带成型滤波，来减少码间串扰，采用的是升余弦滚降滤波器，可以通过更改参数的方式来更改成根升余弦滚降滤波器(Symbol sequence baseband shaping filter to reduce inter-symbol interference, raised cosine roll-off filter, you can change the parameters to change into a root raised cosine roll-off filter)

说明：  gyro matlab fire source file

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

这是一个使用遗传算法用于两类成分识别当中的特征选择问题研究，无论对识别软件设计还是写文章都是有帮助的！(This is a use of genetic algorithms for the two types of components to identify the characteristics of these options, Whether right recognition software design or writing articles are helpful!)