Solutions

其中，子目录《数字信号处理题解及电子课件》_MATLAB程序包含了完成该书的习题参考答案时所用到的MATLAB程序，直接运行这些程序可给出相应习题参考解答的结果。用MATLAB编写的程序的名称由“ex”开头，接下来是所在的章、习题序号及该习题中MATLAB程序的序号，如ex_01_06_1，指的是第1章第6题的第1个程序。(Among them, the subdirectory " digital signal processing solutions and electronic courseware title" _MATLAB The book contains a complete reference to answer the exercises used by the MATLAB program, these programs can be run directly gives a reference to answer the result of exercise. MATLAB program with the name written by the " ex" at the beginning, followed by the host of the Chapter, and the number of exercises exercise program in MATLAB serial number, such as ex_01_06_1, refer to Chapter 1, Article 6, paragraph 1 of the title process .)

raytracing program for seismic forward modeling

Kalman filter simulation on Matlab code

线性方程组的直接解法，其中包括追赶法，高斯消元法和高斯—赛德尔的编程方法(chase-after method program of Linear equations )

magnolia中文教程,讲述如何创建模板及段落等(magnolia Chinese tutorial on how to create a template and paragraphs)

听觉信号加工的双通路模型是北大教授吴玺宏2008年的一篇很重要的文章(Two-channel audio signal processing model)

金融学牛顿科兹求积分的方法的应用,证券投资组合的选择(Newton-Cotes formulas，Portfolio choice.)

MSK modulation technique .

说明：  用鲁棒控制方法来控制一个简单的二阶机械系统：质量块-阻尼器-弹簧系统。该系统是本科生实验教学中常见的控制实验装置。作为本书中的第一个案例，将针对该装置介绍三种控制器的详细设计方法，分析闭环系统的鲁棒稳定性和鲁棒性能。为了简化设计过程，此处仅考虑模型的结构扰动（参数扰动）。针对此例，介绍了matlab鲁棒控制工具箱（Robust Control Toolbox）一些鲁棒控制器设计指令。希望此章的学习不仅能够教授鲁棒控制系统设计方面的知识，也能够教会大家如何使用鲁棒控制工具箱。(Robust control method is used to control a simple second order mechanical system: mass damper spring system. The system is a common control experimental device in undergraduate experimental teaching. As the first case in this book, the detailed design methods of three controllers for the device are introduced, and the robust stability and robust performance of the closed-loop system are analyzed. In order to simplify the design process, only the structural disturbance (parameter disturbance) of the model is considered here. For this example, some robust controller design instructions of MATLAB robust control toolbox are introduced. I hope that this chapter can not only teach the knowledge of robust control system design, but also teach you how to use robust control toolbox.)

模型辨识 模糊神经网络 T-S模型 输入输出 隶属度函数(Model Identification of TS Fuzzy Neural Network model input and output membership function)