MVDR_MMSE

现代图像处理技术及MATLAB实现 电子书 望大家共同进步！(Modern MATLAB image processing technology and we hope to achieve common progress of e-books!)

Hemero toolbox robotics

通信系统中智能天线的自适应波束成形的功能实现算法(Communication system in smart antenna adaptive beamforming algorithm of function )

LMS自适应均衡器，模块化实现。（随机数发生器模块，噪声模块，信道模块，LMS均衡模块，图形显示模块）(LMS adoptive equalizer)

position of vehicle maneuvering in lane changing with fuzzy

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)

基於MATLAB的有限元GUI介面，可分析應力與熱傳(MATLAB-based GUI interface for finite element analysis, stress and heat transfer can be analyzed)

c++实现UPnP设备发现功能，对初学者非常有用，走出第一步。实现设备发现后，控制功能的原理比较简单，工作量不大。(UPnP device discovery via c++， useful with beginners.it s the first step. After discovery,control is easy and simple.)

实现地震剖面图的数据读写，类似于SeiSee和Fimage的MATLAB程序包(similar to SeiSee and Fimage)

capacity of MIMO channel in terms of varying of rx and tx