ReadSegy

文档里面有详尽的Matlab绘图命令介绍，较为好用。。。(A document,which has a detailed description of Matlab drawing commands, is really useful. . .)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

说明：  地心地固（ECEF）坐标系下，基于广义最小二乘的雷达组网空间误差配准(Radar network based on generalized least square error of registration space)

matlab 编程应用100例中的界面设计篇(Interface design articles)

ADM算法，用于基于TV模型的压缩感知图片重构的快速算法，张印所编( ADM algorithm for picture compessing)

压缩感知算法工具箱，可以将压缩感知用于想用的任何算法。(The Compression Sensing Algorithm Toolbox allows you to use compression awareness for any algorithm you want to use.)

matlab simulink for automatic controler

通过对摄像镜头拍摄得到的图片进行失真复原，确定相应摄像头的固定失真系数，从而解决该摄像镜头的失真问题。(Image captured by the imaging lens distortion recovery, to determine the appropriate camera fixed distortion coefficient, so as to solve the problem of the distortion of the imaging lens.)

模式识别中训练决策树、测试决策树、计算决策树中熵不纯度的函数。(Pattern recognition training decision tree, test tree, tree entropy calculation is not a function of purity.)

利用Matlab求二维离散系统的分岔图程序。 在非线性动力学及复杂经济学中经常用到类似的问题。也可以用来画其他更高维数的离散映射系统的分岔图。很实用。(using Matlab for discrete two-dimensional map of bifurcation process. In nonlinear dynamics and complex economics frequently used similar problems. Can also be used for other higher-dimensional painting of a few discrete mapping system bifurcation plan. Practical.)