matlab

这些代码是TD-SCDMA的程序，可以帮助学者更好地理解和掌握TD-SCDMA(The code is the program TD-SCDMA can help scholars better understand and master the TD-SCDMA)

自动绘制PDB分子结构的matlab脚本程序包 界面友好，图像很精美。(Automatic drawing PDB molecular structure of matlab scripts package user-friendly, image is very beautiful.)

Today, there is almost no area of technical endeavor that is not impacted in some way by digital image processing.We can cover only a few of these applications in the context and space of the current discussion. However, limited as it is, the material presented in this section will leave no doubt in the reader’s mind regarding the breadth and importance of digital image processing.We show in this section numerous areas of application, each of which routinely utilizes the digital image processing techniques developed in the following chapters. Many of the images shown in this section are used later in one or more of the examples given in the book. All images shown are digital.

解优化问题时常用的惩罚函数法，分为内点法和外点法两种，求解约束优化问题最优值。(Penalty function method, including interior point method and exterior point method, to solve the optimal value of constrained optimization problems.)

北京航空航天大学出版的matlab从零到进阶第二章的示例程序(Beijing University of Aeronautics and Astronautics matlab published the first chapter from zero to advanced sample program)

波音747仿真实例，里面包含波音747的部分数据以及仿真结果等等相关内容。(747 simulation example, which contains the 747 part of the data and simulation results.)

this is a well data number 1 for RPH sample, stored in las format

Modified Gram-Schmidt (MGS)正交化法是利用已有正交基计算新的正交基。既能选择相关特征，又能排出已选特征对后续特征选择的影响。(Modified Gram-Schmidt (MGS)orthogonalization gives new orthogonal basis through original orthogonal basis. It can do the feature selection and eliminate the impact on choosing new feature vector by the selected one.)

NSString框架的学习，包括NSNumber等 NSString框架的学习，包括NSNumber等(NSString framework of learning, including learning NSNumber etc. NSString framework, including NSNumber etc.)

最小二乘法、最佳均方逼近、随机拟合及其MATLAB程序(Least square method, the best mean square approximation, random process fitting and MATLAB)