Chebyshev-filters

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：  经典的fastica算法，实现盲源分离，速度较快且效果较好(The classic FastICA algorithm can achieve blind source separation with fast speed and good effect)

是一个模糊PID控制例子,控制对象为一个直升机俯仰轴的角度控制,数学模型为二阶传递函数.(Is an example of fuzzy PID control, control helicopter for a pitch axis angle control, the mathematical model for the second-order transfer function.)

广义旁瓣抵消器（GSC）是麦克风阵列语音增强中被广泛采用的一种自适应波束形成算法(generalized sidelobe canceller (GSC) is the microphone array speech enhancement which has been widely used in an adaptive beamforming Algorithm)

this is one of the best satelite code in the world to find the look angle

equalization_RLS matlab

1. BPSK modulation of data which ever you input (default data is “MANIPAL REDDY”). 2. MANIPAL REDDY is changed into ASCII Format and into two-bit format for BPSK Modulation. 3. Chaos is used for spreading the binary bit sequence. 4. Uniformly distributed Noise is added to Spread signal. 5. After reception Chaotic Chip sequence is used to recover message . 6. Filter is used for removing spikes and noise. 7. Note the filter is used is just for showing a little realisitic picture. 8. Appropriate filter should be used. 9. The original data in binary and recovered data in binary format are compared

face recognition program using eigenface approach and euclidean distance method.

基于matlab/simulink的三相PWM整流器仿真建模，希望对大家有所帮助(Based on the three-phase PWM rectifier simulation modeling matlab/simulink, I hope to help everyone)

this is a code for gui and it contains the matlab language codes and its really working codes.i think it will work for the people who are looking for it