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FET5X IS A PACKAGE FOR DOING DGSE MODEL

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). )

随机森林分类器 可以实现分类 适合初学者学习参考(Neural network classifiers can be used to classify information for beginners to learn)

说明：  创建BP神经网络 训练BP神经网络 计算仿真误差 计算运行时间 matlab7.0环境运行无误(The creation of BP neural network trained BP neural network simulation run-time error calculation matlab7.0 environment to run correctly)

This is IP optimization method examples

About Image Proccesing for Retina

MATLAB环境下可以产生PN随机序列的仿真程序(the simulation program of generating PN random sequences )

本文件主要内容是讲解关于matlab中画图（地图）等等(MATLAB plot)

按照步骤根据hough变换进行圆检测 按照步骤根据hough变换进行圆检测(Follow the steps under the hough transform for circle detection in accordance with the steps under the hough transform circle detection)

OPTICAL COMMUNICATION OPTICAL COMMUNICATIONS