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This is about doppler normalization for satelit communication simulation with 2.4 Ghz freq. You can change the frequency for know about doppler efek maxsimum and minimum.

对数据进行傅立叶分析，从时域转换到频域，观察信号的频谱结构，从分析信号的特点(Fourier analysis of the data, the time domain to the frequency domain, spectral structures of the observed signal, the signal characteristics the analysis)

一种变步长LMS的算法，描述了与基本LMS算法的比较，随着迭代次数的增加，变步长的LMS算法达到最优的迭代次数少(A variable step size LMS algorithm, describes the basic LMS algorithm and compare that with the increase in the number of iterations, variable step size LMS algorithm to achieve the optimal number of iterations less)

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

说明：  可以快速实现从滞回曲线中提取到骨架曲线的一种算法，运行速度快，且稳定。(This algorithm can extract skeleton curve from hysteretic curve quickly and stably.)

模式识别中的K均值算法，对数据进行归类。程序中，使用了二维数据进行分类。通过修改参数，也可以支持三维或是更高维数的分类。(the K-means algorithm for Pattern Recognition )

一个估计garch（1,1）的matlab程序(matlab code for estimating garch（1,1）)

读取LIDAR 激光点云 为下一步处理做准备(The reading program)

关于自适应滤波的算法仿真，其中应用了LMS算法和RLS算法，也比较了他们的性能(Adaptive filtering algorithms on the simulation, which applied the LMS algorithm and RLS algorithm, also compare the performance of their)

rectangular qam simulink