chapter1

说明：  一套非常漂亮的图片站源码，以前本人用过的，而且排名很好！(A very beautiful picture station source code, before I used, but a very good position!)

说明：  利用差分法，将数据拟合，从而可以更好的辨识非线性系统的损失位置。(By using the difference method and fitting the data, the loss location of the non-linear system can be identified better.)

Simulink的外文学习资料,适用于英文基础较好的matlab初学者。(err)

this is for LMI problems

传统的用SLM方法降低OFDM系统中PAPR仿真验证程序！(The traditional method of using SLM PAPR reduction in OFDM system simulation program!)

Andriod IR for Arduino

在简单背景下对运动车辆进行检测，使用了帧间相差法，此代码可运行，且效果良好，有效用于交通流量控制中。(In simple background to detect moving vehicles, the use of inter-difference method, this code can be run, and the good results, useful for traffic control.)

包括，kalman一步预测代码，kalman滤波器，以及kalman平滑等几个源代码。希望大家有用。(Including, kalman step prediction code, kalman filter, kalman smoothing, as well as several source code. I hope everyone useful.)

模糊系统逼近程序，用模糊算法对系统进行逼近(Fuzzy Systems Approximation procedures, use of fuzzy approximation algorithm for the system)

布莱克曼窗是一个比较适合复杂的窗，它的衰减很大，做成录波器容易满足指标(Blackman window is a more suitable for complex window, its large attenuation, made recorder easily satisfied index )