首页 开发技术 其它     /    卡尔曼滤波参数估计

卡尔曼滤波参数估计

上传者: xx20121989 | 上传时间:2023/9/8 6:09:41 | 文件大小:232KB | 文件类型:rar
卡尔曼滤波参数估计
这是用MAtlab编程实现的卡尔曼滤波参数估计,能修改参数,满足各自的要求。

文件下载

资源详情

[{"title":"(38个子文件232KB)卡尔曼滤波参数估计","children":[{"title":"www.pudn.com.txt <span style='color:#111;'>218B</span>","children":null,"spread":false},{"title":"Kalmanfilter_GUI","children":[{"title":"卡曼原理","children":[{"title":"转贴---卡尔曼滤波器编程天地怀化气象论坛-poweredbyphpwind_net.htm <span style='color:#111;'>14.16KB</span>","children":null,"spread":false},{"title":"转贴---卡尔曼滤波器编程天地怀化气象论坛-poweredbyphpwind_net_files","children":[{"title":"reply_1_663089.gif <span style='color:#111;'>32.32KB</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Kalman.exe <span style='color:#111;'>120.00KB</span>","children":null,"spread":false},{"title":"m_files","children":[{"title":"fildis.m <span style='color:#111;'>3.32KB</span>","children":null,"spread":false},{"title":"figdel_callback.m <span style='color:#111;'>130B</span>","children":null,"spread":false},{"title":"intfromstr_dot.m <span style='color:#111;'>1.09KB</span>","children":null,"spread":false},{"title":"legend_callback.m <span style='color:#111;'>613B</span>","children":null,"spread":false},{"title":"input_callback.m <span style='color:#111;'>2.01KB</span>","children":null,"spread":false},{"title":"next1_callback.m <span style='color:#111;'>316B</span>","children":null,"spread":false},{"title":"p_callback.m <span style='color:#111;'>126B</span>","children":null,"spread":false},{"title":"mcc_exe.m <span style='color:#111;'>358B</span>","children":null,"spread":false},{"title":"verify1_callback.m <span style='color:#111;'>831B</span>","children":null,"spread":false},{"title":"fromfile_callback.m <span style='color:#111;'>1011B</span>","children":null,"spread":false},{"title":"help2_callback.m <span style='color:#111;'>698B</span>","children":null,"spread":false},{"title":"grid_callback.m <span style='color:#111;'>111B</span>","children":null,"spread":false},{"title":"axislimit_callback.m <span style='color:#111;'>529B</span>","children":null,"spread":false},{"title":"time_callback.m <span style='color:#111;'>354B</span>","children":null,"spread":false},{"title":"help1_callback.m <span style='color:#111;'>919B</span>","children":null,"spread":false},{"title":"page2.m <span style='color:#111;'>1.17KB</span>","children":null,"spread":false},{"title":"start_callback.m <span style='color:#111;'>1.55KB</span>","children":null,"spread":false},{"title":"clear_callback.m <span style='color:#111;'>185B</span>","children":null,"spread":false},{"title":"setaxis.m <span style='color:#111;'>570B</span>","children":null,"spread":false},{"title":"x_callback.m <span style='color:#111;'>122B</span>","children":null,"spread":false},{"title":"generatezk.m <span style='color:#111;'>418B</span>","children":null,"spread":false},{"title":"frommatfile_callback.m <span style='color:#111;'>457B</span>","children":null,"spread":false},{"title":"page1.m <span style='color:#111;'>611B</span>","children":null,"spread":false},{"title":"drawing.m <span style='color:#111;'>352B</span>","children":null,"spread":false},{"title":"isnumber.m <span style='color:#111;'>118B</span>","children":null,"spread":false},{"title":"bkcolor_callback.m <span style='color:#111;'>132B</span>","children":null,"spread":false},{"title":"fildis.asv <span style='color:#111;'>3.43KB</span>","children":null,"spread":false},{"title":"stop_callback.m <span style='color:#111;'>264B</span>","children":null,"spread":false}],"spread":false},{"title":"examples","children":[{"title":"example4.mat <span style='color:#111;'>20.90KB</span>","children":null,"spread":false},{"title":"example4.txt <span style='color:#111;'>191B</span>","children":null,"spread":false},{"title":"example1.mat <span style='color:#111;'>1.03KB</span>","children":null,"spread":false},{"title":"example2.mat <span style='color:#111;'>1.04KB</span>","children":null,"spread":false}],"spread":true},{"title":"卡尔曼滤波.doc <span style='color:#111;'>277.00KB</span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'>318B</span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

  • xiao_yin_dang:
    代码不错,只是没有参数估计2016-06-02
  • mg1616:
    不好运行,缺dll,补上以后还报内存错2015-02-09
  • lixiaobo88:
    车载导航的kalman滤波GUI(matlab6.5),但是只有估计状态,没有参数估计2014-04-25
  • 小砼:
    代码是不错,可是我还没用起来。2013-12-31
  • lingdu0001:
    可以用但是不是我想要的还是谢谢了2013-03-15

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明