2DTEPML

绘制科赫曲线，通过修改内部参数绘制不同迭代次数的曲线(Drawing Koch curve, by modifying the internal parameters of the curve plotted different iterations)

说明：  车间布局优化是将加工设备、物料输送设备、工作单元和通道走廊等布置物体合理地放置在一个有限的生产车间内的过程。车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型，可以使用遗传算法进行优化。(Plant layout optimization is the process equipment, material handling equipment, work unit and access corridors and other layout objects placed in a reasonably limited production of the workshop process. Optimization Model is a workshop with more complex nonlinear continuous constrained optimization model, you can use the genetic algorithm optimization.)

生成alpha 稳定噪声的程序，该程序可以用来生成四个参数的稳定噪声(produce alpha stable noise,it has four parammeters)

实现香农编码，计算平均码长、平均信息熵和编码效率。(Shannon coding, and calculate the average code length, the average information entropy coding efficiency.)

单榕液位模糊控制器相应的仿真图和模糊规则。(ChanRong liquid level fuzzy controller simulation diagram and the corresponding fuzzy rules。)

污水处理的液位控制仿真模块，simulink模型和matlab,mfile文件，(waste water treatment simulation model with PID controller)

数字基带传输系统的MATLAB仿真实现,基带编码采用2B2T的编码方式，讨论了这种方式下系统的误码率及功率等。 (Digital baseband transmission system MATLAB Simulation, base-band encoding the encoding used 2B2T discussed this way the bit error rate, and power.)

一个matlab类获得从雅虎财经股票行情. 一个matlab类获得从雅虎财经股票行情(A Matlab class for obtaining stock quotes from Yahoo Finance)

智能天线自适应算法，该算法是基于DOA分解的MVDR算法。(Smart antenna adaptive algorithm that is based on the the DOA decomposition MVDR algorithm.)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)