Otsu

应用MATLAB（或C）语言编写一幅灰度图像直方图统计程序(Application of MATLAB (or C) written in a gray-scale image histogram statistics program)

主分量分析是一种基本的多维数据描述方法，是一种能使多维数据按照实际研究的需要更好地描述出来的变换方法。(Principal component analysis is a basic description of the method of multidimensional data is a multidimensional data in accordance with the needs of the actual research to better describe the transformation method can make.)

Matlab C++ Math Library

离散迭代，对于离散系统，进行多次迭代，得到最终的准确结果(Discrete iteration)

背景移动补偿技术的研究，是关于车辆检测期间对于背景移动的情况进进行的补偿技术的改进性的研究，希望对大家有所帮助。 已通过测试。 (Background compensation mobile technology, are about the context of vehicle detection during the moovement for the compensation technique to improve the research, hoping for U.S. help. Have passed the )

这段代码是最近调试的一段ECG滤波检波的软件，它实现了对一段ECG数据的GAUS变换滤波，能较为准确的测定出P，Q，R，S，T等关键波的长度及特征。有兴趣的可以看看(This code is the latest section of ECG filtering detector debugging software, which implements the ECG data on a GAUS transform filtering, can be more accurate determination of the P, Q, R, S, T, and the length of the critical wave characteristics. Interested to see)

说明：  用matlab实现的神经网络Hopfield网络算法，初步编写，欢迎指正(nertural network)

这是光伏电源并网的配网模型，里面包含boost，mppt，逆变器，10kv配电网(This is the distribution network model of photovoltaic power grid, which contains boost, MPPT, inverter, 10kV distribution network.)

计算机网络数据链路选择性重传实验。 　　设计一个滑动窗口协议，在仿真环境下编程实现有噪音信道环境下两站点之间无差错双工通信。信道模型为8000bps 全双工卫星信道，信道传播时延270毫秒，信道误码率为，信道提供字节流传输服务，网络层分组长度固定为256字节。(Computer network data link selective retransmission experiment. Design of a sliding window protocol in simulation programming environment there is no error duplex communication channel between the noisy environment the two sites. Channel model is 8000bps full-duplex satellite channel, the channel propagation delay 270 ms, channel bit error rate, channel provides a byte stream transmission services, network layer packet length is fixed at 256 bytes.)

地震数据通常含有噪音，通过该方法可以去除地震数据中的噪音，更好的反演结果(Seismic data usually contains noise, the method can remove the noise in the seismic data, better inversion results)