Delay_spreadRMS

conventional precoder for LTE-A

通过matlab工具箱，较为巧妙地将数据导入，并形成了多点之间的距离等数据和比较美观的图示。(Matlab toolbox more skillfully data import, and the distance between the multi-point data and more beautiful icon.)

本书从MATLAB仿真角度系统地介绍了滑模变结构控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分10章，包括滑模变结构控制发展综述、连续时间系统滑模控制、离散时间系统滑模控制、模糊滑模控制、神经滑模控制、基于反演设计的滑模控制、动态滑模控制、基于干扰估计的滑模控制、Terminal滑模控制以及几种新型滑模控制。 每种控制方法都通过MATLAB仿真程序进行了仿真分析。 ( Book from the MATLAB simulation Jiaodu a systematic introduction to the basic sliding mode control theory, the basic method and application of technology, is the author control systems for many years engaged in teaching and research work of the crystal, and into the domestic and foreign counterparts in recent years made new results. The book is divided into 10 chapters, including the development of sliding mode control synthesis of continuous-time sliding mode control systems, discrete-time sliding mode control systems, fuzzy sliding mode control, neural sliding mode control, sliding mode control design based on inverse dynamic slip mode control, sliding mode control based on interference estimation, Terminal sliding mode control, and several new types of sliding mode control. Each control methods are carried out by MATLAB simulation program simulation.)

说明：  使用svm进行数据的预测，首先进行pca对数据进行主元分析，提取有用信息，结果显示数据拟合效果非常好(SVM is used to predict data. first, PCA is used to analyze the data and extract useful information. the results show that the data fitting effect is very good.)

Research of random signals. Fast Furier transform. Histograms and graphs made in Matlab. Lab work in Omsk state technical university.

说明：  初学matlab 为了老婆编的 只有跟老婆才能玩的小游戏 (game wife matlab)

自己写的利用SVM分离器来识别印章。水平有限，欢迎指正。(Write my own use of SVM separator to identify seal. The level is limited, welcome to correct. )

ADC的fft测试，包括几个小的MATLAB程序(Fft simulation of the ADC)

适合初级学习MatLab的用户使用,讲解的比较清晰,很适合于学习(suitable for the initial study MatLab users, on the clear, well suited to learning)

聚类分析技术已经广泛应用于基于内容的图象信息挖掘领域，该技术提高了图象检索的速度和质量。K-均值算法和自适应算法是两个典型的聚类分析算法()