gaotv5

用matlab编写的AR谱分析程序及源数据(AR spectrum)

Codigo ejemplo de datos levitador con redes neuronales artificiales RNA

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)

扩展卡尔曼滤波程序，C语言仿真。包括卡尔曼滤波简介及其算法实现代码。(EKF simulation)

IIR和FIR滤波器的设计，用脉冲响应不变法和双线性变换法设计IIR滤波器，用窗函数法设计了FIR滤波器。(IIR and FIR filter design, with the impulse response method and the bilinear transform IIR filter design using window function design of the FIR filter.)

说明：  matlab源代码，是一些教科书上要用到的代码。(matlab source code is that some textbooks use the code.)

光纤模式分布图形及模式数量计算，程序清晰图形漂亮(fiber modes distribution graphic and mode number computition)

It is used for water marking. Help in Digital Image processing.

利用MATLAB实现图像的离离散余弦变换的源代码可直接使用。 (The source code using MATLAB' s image away from the discrete cosine transform can be used directly.)

Each trial uses 10000 bits is used for DQPSKModulator in Rician channel with K-factor value is 3