文件名称:ekfukf

  • 所属分类:
  • 3G开发
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 712kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 夜**
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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非线性滤波方法,主要包括EKF(扩展卡尔曼滤波)与UKF(无迹卡尔曼滤波),对于非线性状态、参数估计的学习有很大的帮助-Nonlinear filtering methods, including EKF (EKF) and UKF (unscented Kalman filter) for nonlinear state estimation is very helpful in learning
相关搜索: ekfukf

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下载文件列表

ekfukf\Contents.m

......\der_check.m

......\eimm_filter.m

......\eimm_predict.m

......\eimm_smooth.m

......\eimm_update.m

......\ekf_predict1.m

......\ekf_predict2.m

......\ekf_update1.m

......\ekf_update2.m

......\erts_smooth1.m

......\etf_smooth1.m

......\gauss_pdf.m

......\gauss_rnd.m

......\immrts_smooth.m

......\imm_filter.m

......\imm_predict.m

......\imm_smooth.m

......\imm_update.m

......\kf_lhood.m

......\kf_loop.m

......\kf_predict.m

......\kf_update.m

......\License.txt

......\lti_disc.m

......\lti_int.m

......\Release_Notes.txt

......\Release_Notes.txt~

......\resampstr.m

......\rk4.m

......\rts_smooth.m

......\schol.m

......\tf_smooth.m

......\uimm_predict.m

......\uimm_smooth.m

......\uimm_update.m

......\ukf_predict1.m

......\ukf_predict2.m

......\ukf_predict3.m

......\ukf_update1.m

......\ukf_update2.m

......\ukf_update3.m

......\urts_smooth1.m

......\urts_smooth2.m

......\utf_smooth1.m

......\ut_mweights.m

......\ut_sigmas.m

......\ut_transform.m

......\ut_weights.m

......\demos\ungm_demo\ungm_d2f_dx2.m

......\.....\.........\ungm_d2h_dx2.m

......\.....\.........\ungm_demo.m

......\.....\.........\ungm_df_dx.m

......\.....\.........\ungm_dh_dx.m

......\.....\.........\ungm_f.m

......\.....\.........\ungm_h.m

......\.....\reentry_demo\make_reentry_data.m

......\.....\............\reentry_cond.m

......\.....\............\reentry_demo.m

......\.....\............\reentry_demo.m~

......\.....\............\reentry_df_dx.m

......\.....\............\reentry_dh_dx.m

......\.....\............\reentry_f.m

......\.....\............\reentry_h.m

......\.....\............\reentry_if.m

......\.....\............\reentry_param.m

......\.....\kf_sine_demo\kf_sine_demo.m

......\.....\...cwpa_demo\kf_cwpa_demo.m

......\.....\............\lti_disc.m

......\.....\............\gauss_pdf.m

......\.....\............\gauss_rnd.m

......\.....\............\kf_predict.m

......\.....\............\kf_update.m

......\.....\............\rts_smooth.m

......\.....\............\tf_smooth.m

......\.....\imm_demo\imm_demo.m

......\.....\........\trajectory.mat

......\.....\ekf_sine_demo\ekf_sine_d2h_dx2.m

......\.....\.............\ekf_sine_demo.m

......\.....\.............\ekf_sine_dh_dx.m

......\.....\.............\ekf_sine_f.m

......\.....\.............\ekf_sine_h.m

......\.....\.imm_demo\botm_demo.m

......\.....\.........\bot_d2h_dx2.m

......\.....\.........\bot_dh_dx.m

......\.....\.........\bot_h.m

......\.....\.........\ct_demo.m

......\.....\.........\f_turn.m

......\.....\.........\f_turn_dx.m

......\.....\.........\f_turn_inv.m

......\.....\.........\trajectory.mat

......\.....\bot_demo\bot_d2h_dx2.m

......\.....\........\bot_demo_all.m

......\.....\........\bot_dh_dx.m

......\.....\........\bot_h.m

......\.....\........\ekfs_bot_demo.m

......\.....\........\ukfs_bot_demo.m

......\.....\ukf_demo\ukf.m

......\.....\........\ut.m

......\.....\........\sigmas.m

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