plot_hht

写了著名的最小均方准则下的自适应算法，在matlab环境下运行(Wrote a well-known least mean square criterion of the adaptive algorithm, running in matlab environment)

说明：  matlab 双坐标轴 参考时请根据需要适当修改(matlab double axis)

真正接触matlab一年左右，我很喜欢上了matlab的简单的语法,易于绘制图形,gui编 程也非常容易, 并且功能强大的开放式的toolbox。 因此,尽管我一直没有这方面的应用,但是我还是对 它非常感兴趣。 现 将个人的matlab的一点学习体会列在这里,愿能够对大家(特别是初学者)起到一点儿微薄 的作用也好。 (Real contact with matlab about a year, I am in love with the matlab syntax simple, easy to draw graphics, gui programming very easy, and powerful open toolbox. Therefore, even though I have not this application, but I still very interested in it. Matlab personal point now learning experience out here, we would like to be able to (especially beginners) to play the role of a little modest 也好.)

WINNER 2 ITU ChannelModel

说明：  改程序对C/A码的产生进行了仿真，运行结果显示了第四颗卫星产生的C/A码(Application to the C/A code generation are simulated, operation results show that the fourth satellite produce C/A code)

该程序实现了线性kalman滤波进行单目标跟踪，注释详细，并包含了例程(The program implements a linear kalman filter for target tracking, notes in detail and includes routines)

networ performance evaluation for handover network estimation

简单ofdm调制代码，基于qpsk，有循环前缀，两种信道传输。(ofdm simulation based on qpsk.)

说明：  本书从MATLAB仿真的角度出发，系统地介绍了系统辨识与自适应控制的基本理论和方法。本书共6章，主要内容为：绪论、系统辨识、模型参考自适应控制、自校正控制（包括广义预测控制）、基于常规控制策略的自校正控制和非线性系统辨识与控制（包括神经网络和模糊控制）。书中每种算法都配有仿真实例、仿真程序、仿真结果以及对仿真结果的简要分析，以便于读者深入理解和运用基本理论和算法(From the perspective of MATLAB simulation, this book systematically introduces the basic theories and methods of system identification and adaptive control. This book has 6 chapters, the main contents are: introduction, system identification, model reference adaptive control, self-tuning control (including generalized predictive control), self-tuning control based on conventional control strategies, and identification and control of nonlinear systems (including neural network) And fuzzy control). Each algorithm in the book is equipped with simulation examples, simulation programs, simulation results, and a brief analysis of the simulation results, so that readers can deeply understand and use basic theories and algorithms.)

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.)