Kalman-filter-algorithm

基本粒子群优化算法Matlab源程序 主要用于对PSO的基本理解与思考 (Particle swarm optimization algorithm Matlab source)

功能近红外光谱信号的极限漂移与其有用信号重叠，高通滤波会对有用信号产生影响，该方法可有效出去极限漂移(program for fNIR detrending)

this file present FDI Benchmark for windturbine

说明：  软件测试，基于用例的需求过程，主要是管理类软件，其他的可以做参考(Software testing, based on use case requirements process, mainly Management software and other information can be done)

High School faculty calculator

Potential temperature from in-situ measurements

粒子群算法、遗传算法优化RBF径向基神经网络(Particle swarm optimization, genetic algorithm optimization RBF RBF neural network)

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). )

学习MATLAB的书籍，英文好的就看看吧。(learning MATLAB PDF english simple)

ran资源网络程序 (Resource Network program ran)