bitplaneslicing

基于子空间的盲多用户检测技术，里面包含PASTd算法和秩算法的介绍与计算。下面我会把自己的翻译也上传上来。(Subspace-based blind multi-user detection technology, which containing PASTd algorithm and rank algorithm describes calculation. I will own translation post it here.)

高斯消元法MATLAB实现，小报告形式展现(Gaussian elimination MATLAB implementation)

自编基于龙格库塔法的Matlab数值积分函数 (Self-compiled Matlab based on Runge-Kutta method of numerical integration of functions)

此程序采用FDTD方法编写，可以用来观察和验证电磁波的绕射(This program is written using the FDTD method can be used to observe and verify the electromagnetic wave diffraction)

地震反应谱理论详细讲解，非常有有用的知识(seismic response spectra)

BP神经网络的学习代码，是学习BP神经网络的入门代码，可以用于仿真实验(BP neural network to learn the code, BP neural network to learn the entry code can be used for simulation experiments)

matlab guide for beginners

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). )

使用K-MEANS算法进行图像的分割，并且有详细的语句注释(K-MEANS algorithm using image segmentation, and a detailed statement notes)

基于Matlab的高通滤波器的设计源码，可以通过此代码，模拟高通滤波器的设计。并附有仿真后的图像。(Matlab-based high-pass filter design source code, this code can simulate the high-pass filter design. Together with simulation, the image.)