登录
首页 » matlab » gps_kalman

gps_kalman

于 2012-11-30 发布 文件大小:5KB
0 285
下载积分: 1 下载次数: 426

代码说明:

  GPS接收机中的卡尔曼滤波,经过测试!程序可以跑通!适合初学者!(Kalman filter in GPS receiver tested! The program can be run through! For beginners!)

文件列表:

gps_kalman
..........\gps_kalman.m,15038,2012-11-28

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • REFLECT-COEFFICIENCY
    地层反射界面反射系数求取 , 已知速度密度信息求取反射系数(Reflection layer interface reflection coefficient strike, strike a known speed-density information reflection coefficient)
    2015-12-13 16:28:59下载
    积分:1
  • BP
    利用BP算法实现简单的多层感知器网络,用于实现非线性不可分模式的分类问题,以及非线性函数逼近问题。(A simple multi-layer perceptron network based on BP algorithm is used to classify non-linear inseparable patterns and approximate non-linear functions.)
    2019-04-21 17:29:02下载
    积分:1
  • LDPC_802.16e仿真代码
    可以产出LDPC_802.16e码字,不同码长不同码率(creat LDPC_802.16e ldpc code)
    2018-06-13 12:00:48下载
    积分:1
  • Path-planning
    说明:  采用人工势场法实现从起点到目标点的运动,并且正确躲避障碍物。(Artificial potential field method is used to realize the movement from the starting point to the target point, and to avoid obstacles correctly.)
    2019-02-23 22:40:26下载
    积分:1
  • delay
    时间滞后的监测算法 - 统计学方法.输入两个信号序列,最优估计两序列的时间差(Matlab implementation of time delay estimation- statistics approach)
    2009-09-16 11:05:38下载
    积分:1
  • gaborfilter
    三个参数不同的gabor滤波器设计,包括图片和源代码(Three parameters of different gabor filter design, including images and source code)
    2008-04-20 12:55:58下载
    积分:1
  • Voronoin 3D m
    matlab生成泰森多边形,并到处到txt文件,可用于晶体塑性有限元建模(generate a voronoi model and export to files)
    2020-06-25 20:00:02下载
    积分:1
  • op_rmbadaverages
    说明:  去除坏平均值的mrs预处理:在fid-a软件中从mrs数据阈值中去除坏平均信号,以获得更好的效果(mrs preprocessing for remove bad average : removes the bad average signal from mrs data threshhold in FID-A software for better result)
    2019-10-17 17:52:23下载
    积分:1
  • chapter1
    说明:  每组数据为25维,第1维维类别标识,后24维为语音特征信号。然后把四类语音信号何为一组,抽取1500组数据作为训练数据,500组数据作为测试数据,并对数据进行归一化处理。根据语音类别标识设定每组语音信号的期望输出值,如标识类为1时,期望输出向量为[1 0 0 0]。(Each group of data has 25 dimensions, the first dimension is identified by category, and the last 24 dimensions are speech feature signals.Then, select one group of four speech signals, extract 1500 groups of data as training data and 500 groups of data as test data, and normalize the data.Set the expected output value of each group of speech signals according to the speech category identification. For example, when the identification class is 1, the expected output vector is [1 0 0 0].)
    2019-01-17 11:15:19下载
    积分:1
  • TGPSmapph
    最新GPS地图 最新GPS地地图 -GPSMAP可直接使用。 (The latest GPS map GPS to map-the GPSMAP can directly use.)
    2012-08-04 23:51:59下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载