shuangkuifangzhenwenzhang

conventional simulink statcom

THIS FILE CONTAINS IMPORTANCE OF IMAGE PROCESSING

由语言编和应用编两部分组成，语言编介绍MATLAB语言的基本语法，既便于自学，应用编给出80个实例(it composed by language and application, language part describes the basic syntax of the MATLAB ,and application part have 80 examples .both for self_learning)

ark系统安全工具源码，是个轻型的手工杀毒(ark source system security tool, is a lightweight manual antivirus)

matlab UIcontrol界面编程实例代码(matlab gui problem example)

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)

show that the non-coherent DLLs outperform the coherent DLLs in terms of demodulator losses caused by unresolvable multipath components.

线性预测LSM预测器，可以完成对信号的预测功能(adaptive linear prediction)

time frequency analysis

Protocol-agnostic implementation of the Raft consensus algorithm