Introduction_to_Simulink_with_Engineering_Applicat

数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法(Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm)

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)

high pass windowed sync filter / plot/develop input output filter response

对于非线性时变工业过程对象，首先建立模型集来覆盖被控对象动态特性，分别建立相应的内模控制器，在系统变工况运行时，进行多模型加权自适应控制，与传统单内模控制相比，控制效果明显提高。(For the nonlinear and time-varying industrial process object, first ，we build model set to cover the dynamic characteristics of the object, then,set up a corresponding internal model controller respectively.When the system operation mode is running, multiple model weighted adaptive control has been used,and compared with the traditional single internal model control,it has improved obviously. )

用MATLAB写的，用Prim算法找出图中的最小支撑树，文件中有例子，有计算的结果，一看便懂。(Written in MATLAB, with the minimum support tree in the Prim algorithm to find a figure, file example, with the result of calculation, a see will understand.)

测试陀螺仪随温度变化的特性，这是一个温箱测试的matlab处理程序！(Test gyroscope characteristics change with temperature, which is a warm-box testing matlab handler!)

波束形成中mvdr和music算法精确性对比分析，可对两个声源进行识别(Mvdr and music beamforming algorithm accuracy comparative analysis of the two sound sources can be identified)

包括自适应控制中的MIT以及李雅普诺夫控制方法的简单编程示例(Simple programming examples include adaptive control of MIT and Lyapunov control method)

MATLAB程序插值算法电子文档MATLAB program electronic document interpolation algorithm(Interpolation algorithm MATLAB program electronic document MATLAB program electronic document interpolation algorithm)

关于bootstrap的经典文献一篇，这是Introduction to the Practice of Statistics第五版中第14章。(The classic literature on the bootstrap one, which is Introduction to the Practice of Statistics in the fifth edition of Chapter 14.)