gatbx-example2

说明：  bp神经网络对字母的识别，在matlab里运行，并且附带程序和运行后的图像，(The bp neural network recognition of letters, running in the matlab, and the supplementary program and after the operation of the image,)

一个关于LQG控制的简单例子，对相关函数的调用的理解相当有帮助，亲测有效实用。(A simple example of LQG control is very helpful to understand the call of related functions, and it is effective and practical to test personally.)

圖像處理分析，圖像輪廓邊緣化處理分析。 動態移動分析處理(This release is developed at June 2004, during the Aneurysm project at the IHW, ETH Zurich. The URAPIV includes simple GUI, works with TIFF successive files, coming from High-speed CMOS camera. The project is continued with 3D PTV later on, and allows us to validate the PIV experiment and the software. )

不同蜂窝系统，不同移动台速率的情况下 信道保持时间，驻留时间，切换概率仿真计算(The simulation for multi size cell and multi speed MS s Channel hold time and stay time and the probability of handover)

中文核心期刊电网技术杂志上的一篇介绍风光储联合发电系统储能容量对有功功率的影响及评价指标的文章(Chinese core periodical grid technology magazine ran a scenery storage combined power generation system is introduced in this paper the influence of the energy storage capacity of active power and evaluation index of the article )

netCDF 文件读取工具，用于matlab，可以很方便的读取NetCDF文件中的信息(NetCDF tools for matlab)

永磁同步电机矢量控制程序，位置与角度判断可通过霍尔位置传感器，编码器得到，其中也含有无位置传感器程序(Permanent magnet synchronous motor vector control program, to determine the position and angle through the Hall position sensors, encoders get, which also contains the program without position sensors)

用MATLAB编程出自适应时域均衡在均衡前与均衡后的眼图对比（低通信道和多径信道），还有误差曲线(Programming with MATLAB the adaptive time-domain equalizer in the balance before the balance of the eye diagram after the contrast (low communication channel and multi-path channel), as well as the error curve)

说明：  改进神经元自适应的pid控制，采用本算法，全系数的在线修正就不完全是根据神经网络学习原理，而是参考实际经验制定的(Improve the neuron adaptive pid control, the use of the algorithm, the coefficient of online correction is not completely according to the principle of neural network learning, but refer to the practical experience)

局部离群点检测算法，matlab代码实现(local outlier detection)