c18_cdmasim.m

基于离散傅立叶变换的数字水印matlab源码(Discrete Fourier Transform based on digital watermarking matlab source)

optical flow algorithm

UniTire 模型的matlab程序，采用了自带的优化算法，进行数据拟合(using for calculate the uniTire model)

this program describes the partical filter and extended kalman filter used to reduce the error to get better accuracy of the position

说明：  今天好心情，搞了几个小程序，大家分享一下(A good mood today, engaging in several small programs, we share)

raise cosine filter, rectangular root cosine in simulink

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). )

说明：  模式识别matlab工具箱。一般常见的分类方法都包含在内，还有svm分类。(Pattern recognition matlab toolbox. General common classification methods are included, as well as svm classification.)

matlab实现fft,以及ifft算法,包含蝶型运算等文件(Matlab achieve fft and ifft algorithm, includes a butterfly computation, and other documents)

plotting and visualization matlab ppt