yulewalker

光流（运动估计）经典算法Horn and Schunck算法MATLAB程序。(optical flow (Motion Estimation) classical algorithm Horn and Schunck algorithm MATLAB program.)

导航领域的传递对准算法，考虑挠曲变形的速度加姿态匹配算法(This is the speed and attitude matching transfer alignment algorithm in the navigation field)

说明：  simulation ldpc by matlab

this simulation is of the Brushless DC motor and the implementation is done by using matlab...

这个Matlab程序估计、预测马尔可夫转换回归(Markov Switching Regression)，绘制出K线图等回归。(The Matlab program estimates, forecasts Markov transition regression (Markov Switching Regression), drawing out the return of K line maps.)

把整个频率范围中的某段重点频区局部放大，获得比整个频率范围高的频率分辨率，从而观察频谱中的细微部分(The entire frequency range of the frequency of certain key areas enlarged to obtain the entire frequency range than the high frequency resolution, and thus observe the subtle part of the spectrum)

LDPC码的编译码算法，matlab代码(matlab code for LDPC encoder and decoders)

RBF网络逼近函数子程序。。。。。。。。(RBF network approximation function subroutine)

模拟了一个6cm直径的金属圆柱散射体，在高斯源激励下的模场分布图，采用了PML边界(a 6-cm-diameter metal cylindrical scatterer in free space is modeled. The source excitation is a Gaussian pulse with a carrier frequency of 5 GHz.)

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)