l1eq_pd

用于将层速度转化为动校正速度，使用在地震勘探研究中。(Computing the Vnmo from Vstrata for horizontal strata in seismic research.)

逻辑回归实现线性分类器，文件中的readme.txt可以看到使用方法。 具体使用就是通过data.txt读入数据（默认2维数据，分为正反两类。）然后用matlab运行solve.m即可得到分类线、分类准确率。(a matlab source code for Logistic Regression. Datas in data.txt are of 2dimension and 2 types. run solve.m in matlab software to get the accuracy and the plot result.)

一个50行的Matlab有限元程序（二维线弹性问题），执行fem2d.m即可。(A 50-line Matlab finite element program (two-dimensional linear elastic problem), Executive fem2d.m .)

说明：  matlab环境下的多路串口数据实时绘图显示，GUI界面。(matlab environment in real-time multi-channel serial data graphics, GUI interface.)

基于IIR滤波器的costas环的simulink实现，区别于不同的costas环，可以实现通信系统的载波同步，可以直接在matlab上打开实现，对于通信系统的同步问题的学习和设计(IIR filter based on simulink realization of costas loop, different from the various costas loop, carrier communication system can be achieved simultaneously, you can open directly in matlab implementation, the synchronization of communication systems for the study and design)

包括压缩比、运行时间和计算复原图像的峰值信噪比,ML法能够很好的估计信号的信噪比,窗函数法设计一个数字带通FIR滤波器。( Including compression ratio, image restoration computing uptime and peak signal to noise ratio, ML estimation method can be a good signal to noise ratio, A window function design FIR digital band-pass filter.)

将PID 控制与模糊控制的简便性、灵活性以及鲁棒性融为一体,构造了一个参数自整定模糊PID 控制器. 通过模糊控制规则在线调整PID 控制器的参数,并利用MATLAB 语言结合具体实例方便而快速地实现了该控制器的计算机仿真. 仿真结果表明:该控制方法提高了控制系统的动、静态特性,使系统获得了较好的性能.(The PID control and fuzzy control of the simplicity, flexibility and robustness of the integration, construction of a parameter self-tuning fuzzy PID controller. Through the fuzzy control rules online adjust the parameters of PID controller, and use specific examples of MATLAB language and quickly realize the convenience of the controller)

利用重力剖面反演水平圆柱的边界及位置，程序抗干扰能力较差，模型计算加入噪音严重影响结果，但可作为算法参考并加以改进。(Tilt-Depth for gravity profile over horizontal cylinder)

matlabFEM is fem lab progrma source code to solve equation diferential

可以将分割完的子图像进行二值化，二值化效果很明显，易于下一步的分割识别(You can split end of the sub-image binarization, thresholding effect is obvious and easy to identify the next stage of segmentation)