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使用matlab语言，用7种方法绘制立方体，有详细说明和配图。对于了解matlab三维绘图的基本语句有借鉴作用。初学者非常适合。(Using matlab language, with 7 kinds of methods of drawing a cube, with a detailed description and distribution map. Matlab for the understanding of the basic sentence of three-dimensional graphics are used for reference. Very suitable for beginners.)

说明：  DM500 Main scematic diagram

内容为《MATLAB实用指南系列》各书用到的部分程序。包含MATLAB_syjc，MATLAB_gcsx，MATLAB_txtx，MATLAB_gjbc等4个目录。 MATLAB_syjc目录下为《MATLAB实用教程》用到的部分程序。 MATLAB_gcsx目录下为《MATLAB工程数学》用到的部分程序。 MATLAB_txtx目录下为《MATLAB图形图像》用到的部分程序。 MATLAB_gjbc目录下为《MATLAB高级编程》用到的部分程序。 所有程序均通过调试。环境为MATLAB 7.0, Visual Basic 6.0, Visual C++ 6.0, Excel 2000, SPSS 12.0, Windows 2000。(Says " MATLAB Practical Guide Series" of the book used some of the procedures. Contains MATLAB_syjc, MATLAB_gcsx, MATLAB_txtx, MATLAB_gjbc directory, etc. 4. MATLAB_syjc directory for " MATLAB Practical Guide," used some of the procedures. MATLAB_gcsx directory for " MATLAB Engineering Mathematics" used in some of the procedures. MATLAB_txtx directory for " MATLAB graphics images" used in some of the procedures. MATLAB_gjbc directory for " MATLAB high-level programming" used some of the procedures. All through the debugging process. Environment MATLAB 7.0, Visual Basic 6.0, Visual C++ 6.0, Excel 2000, SPSS 12.0, Windows 2000.)

用于MATLAB作图中，多张图的合并（里面的文件路径需要根据需要更改）(For the MATLAB plot, the multiple number of pictures merger (inside the file path needs to be changed as needed))

有约束2a+b^2+tan(c)=15 目标函数a*exp(b/x)+c=y 的最小二乘解(Binding 2a+ B ^ 2+ Tan (c) = 15 the objective function a* exp (b/x)+ C = y the least squares solution)

The Best Blind MMSE Estimator

simulation of double stage rectifire using matlab simulink power electronic field

处理lasso regression。 使用stochastic Markov property。(Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 norm i.e., ||beta||_1 = sum(abs( beta )) We use the method proposed by Fu et. al based on single co-ordinate descent. For more details see GP s notes or the following paper: Penalized Regressions: The Bridge Versus the Lasso Wenjiang J. FU, Journal of Computational and Graphical Statistics, Volume 7, Number 3, Pages 397?416, 1998 )

Sub band adaptive filtering alogorhims

Introduction to Mathlab ebook