master_matlab6.5

about chapere kahande in matlab simulink

FDTD Matlab非常好的学习源码，注释详尽。可直接运行，包括1D,2D,3D界条件为PML和UPML，(FDTD Matlab)

永磁同步电机双闭环控制系统的滑模控制算法研究。(The slide control of PMSM.)

在matlab平台下进行的匹配滤波器的检测仿真，在不同的信噪比，相同的概率情况的仿真曲线(Matched filter detection in Matlab platform simulation, the simulation curve in a different signal to noise ratio, the same probability)

matlab code for adaptive filter

利用和声搜索算法解决数目较小的TSP问题，程序中取路径点数为5.(Use harmony search algorithm to solve a smaller number of TSP, the program takes the path points to 5.)

Ultra-Wideband Communications Systems Multiband OFDM Approach W. Pam Siriwongpairat Meteor Communications Corporation K. J. Ray Liu University of Maryland

该算法用matlab编写，并且实现对文字识别。附带图片。(the algorithm using Matlab preparation, and to achieve recognition for words. Photo attached.)

在运载体运动情况下,提出了一种适用于捷联惯导系统(SINS)初始对准的新算法,该算法以惯性空 间为过渡参考基准,即建立了初始时刻惯性坐标系(i0系)和初始时刻捷联惯组惯性坐标系(ib0系)两个惯性坐标 系。将捷联惯组坐标系(b系)与导航坐标系(n系)之间的初始对准姿态矩阵的实现分解为三步骤:(1)通过地理 位置和初始对准时间求解i0系至n系的变换矩阵 (2)通过惯导比力方程变形,引入测速仪速度辅助,求解从ib0 系至i0系的常值变换矩阵 (3)使用姿态更新算法实时计算b相对于ib0系的变换矩阵。最后,载车运动环境下的 初始对准试验结果表明航向角对准精度达到了0.1b(1R)。 (On the moving base, a new initial alignment algorithm for strapdown inertial navigation system (SINS) is proposed. In this algorithm, two special inertial frames, the initia-l time inertial frame (i0frame) and the initia-l time SINS body inertial frame (ib0frame), are defined and are selected as transition reference frames. The calculation of initial alignment direction cosine matrix (DCM) between SINS body frame (bframe) and nav- igation reference frame (nframe) is expanded into three parts: (1) the DCM betweeni0frame andnframe is easily obtained via local geographical coordinates and initial alignment time (2) by expressing SINS specific force equation inbframe and by the aid of external velocity log, the constant DCM fromib0frame toi0frame is achieved (3) attitude updating using gyro samples gets the DCM betweenbframe andib0frame. In the end, some vehicular tests are carried out on the moving base and the accuracy of azimuth reaches about 0.1b(1R). )

LSVM Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.