figure9

说明：  安德森经典著作：最优滤波，学习最优滤波的基础教材(Anderson classics: the optimal filter, optimal filter based learning materials)

带遗忘因子的线性回归算法程序，适用于时变特性的数据(Data with forgetting factor linear regression algorithm procedures applicable to the time-varying characteristics)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

先进PID控制极其Matlab仿真，很实用、很详细，附有具体程序案例，是不错的初学者教材。(Advanced PID control is extremely Matlab simulation, very practical, very detailed, with program-specific case is a good beginners textbook.)

matalb仿真频率变化对相控阵雷达的天线增益带来的影响，并画图进行分析(Effect of antenna gain MATALB simulation of phased array radar frequency change brings, and drawing analysis)

fld based fece recognition

converter using mat lab

matlab code for microstrip

增量SVM的实例，用于对手势的在线增量学习，有很详细的源码，并实现了SVM的多分类问题，对于模式识别和学习SVM有很大的帮助(Instance of the incremental SVM for gesture online incremental learning, there is a very detailed source, and to achieve a multi-SVM classification, pattern recognition and learning SVM great help)

DDC的处理,描述从ADC采集数据后信号的下变频处理.主要是信号滤波和抽取(digital handle)