xiaobo_xishu

说明：  SOA高速动态响应模型,基于SOA的载流子速率方程描述(High-speed dynamic response model of SOA, SOA-based carrier rate equation description of)

基于最大类间方差阈值与遗传算法的道路分割，是基于最小二乘法的改进(Based on road Otsu threshold segmentation and genetic algorithm is based on the least square method to improve)

用AR模型法进行功率谱估计的各种算法比较，包括自相关法，BURG法，ARMA模型估计，PISARENCO谐波分解法(AR model method used to carry out a variety of power spectrum estimation algorithms, including the auto-correlation method, BURG Act, ARMA model is estimated, PISARENCO harmonic decomposition method)

非平稳噪声下，通过预处理，可以很好的消除噪声的影响，且能对信号解相干(Non stationary noise, through pretreatment, can be very good to eliminate the influence of noise, and to signal decorrelation )

Analysis, Modeling and Control of Doubly-Fed Induction Generators for Wind Turbines

使用有限元方法, 2D FEM计算热扩散方程. 三角形分割. (use of the finite element method, 2D FEM calculation of thermal diffusion equation. Triangle division.)

一本关于MATLAB编写风格的书，适合所有matlab爱好者。(A book written in MATLAB style, suitable for all matlab lovers.)

SAR图像中的多尺度边缘检测，自动化程序高，效果明显(SAR images in multi-scale edge detection, automated processes, the effect is obvious)

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)

最小二乘算法来实现esprit算法，该代码已经在matlab中运行过绝对可以放心使用(Least squares algorithm to achieve esprit algorithm, the code has been run in matlab absolutely safe to use)