├── .gitattributes ├── .gitignore ├── 00-A目录.ipynb ├── 00-前言.ipynb ├── 01-g-h滤波器.ipynb ├── 02-离散贝叶斯.ipynb ├── 03-高斯模型.ipynb ├── 04-一维卡尔曼滤波器.ipynb ├── 05-多维高斯模型.ipynb ├── 06-多维卡尔曼滤波器.ipynb ├── 07-卡尔曼滤波器中的数学.ipynb ├── 08-设计卡尔曼滤波器.ipynb ├── 09-非线性滤波.ipynb ├── 10-无迹卡尔曼滤波器.ipynb ├── 11-扩展卡尔曼滤波器.ipynb ├── 12-粒子滤波器.ipynb ├── 13-平滑化.ipynb ├── 14-自适应滤波.ipynb ├── README.md ├── Supporting_Notebooks ├── Computing_and_plotting_PDFs.ipynb ├── Converting-Multivariate-Equations-to-Univariate.ipynb ├── Interactions.ipynb ├── Iterative-Least-Squares-for-Sensor-Fusion.ipynb └── Taylor-Series.ipynb ├── __init__.py ├── animations ├── 02_no_info.gif ├── 02_simulate.gif ├── 04_gaussian_animate.gif ├── 05_dog_track.gif ├── 05_volt_animate.gif ├── 13_particle_move.gif ├── Gaussians_Animations.ipynb ├── Kalman_Filters_Animations.ipynb ├── discrete_bayes_animations.ipynb ├── multivariate_animations.ipynb ├── multivariate_ellipse.gif ├── multivariate_track1.gif ├── particle_animate.ipynb └── particle_filter_anim.gif ├── book_format.py ├── environment.yml ├── experiments ├── 1d_kf_compare.ipynb ├── 1dposvel.ipynb ├── 2014-03-26-000-Data.csv ├── DiscreteBayes1D.py ├── ILS.py ├── RobotLocalizationParticleFilter.py ├── RobotLocalizationParticleFilter_2.py ├── RungeKutta.py ├── Untitled.ipynb ├── Untitled0.ipynb ├── Untitled1.ipynb ├── Untitled2.ipynb ├── __init__.py ├── ball.py ├── balzer.py ├── baseball.py ├── bb_test.py ├── bicycle.py ├── compute_q.ipynb ├── distributions.py ├── dme.py ├── dog_track_1d.py ├── doppler.py ├── ekf4.py ├── ekfloc.py ├── ekfloc2.py ├── ekfloc3.py ├── euler.py ├── fusion.py ├── gating.ipynb ├── gauss.py ├── gh.py ├── histogram.py ├── image_tracker.py ├── mkf_ellipse_test.py ├── noise.py ├── nonlinear_plots.py ├── quaternion.py ├── range_finder.py ├── satellite.ipynb ├── slam.py ├── slamekf.py ├── taylor.py ├── test1d.py ├── test_stats.py ├── train.py ├── two_radar.py ├── ukf_baseball.py ├── ukf_range.py ├── ukfloc.py ├── ukfloc2.py └── zarchan_ball.ipynb ├── figs ├── gh_errorbar1.png ├── gh_errorbar2.png ├── gh_errorbar3.png ├── gh_estimate1.png ├── gh_estimate2.png ├── gh_estimate3.png ├── gh_hypothesis1.png ├── gh_hypothesis2.png ├── gh_hypothesis3.png ├── gh_hypothesis4.png ├── gh_hypothesis5.png ├── gh_predict_update.png ├── residual_chart.png └── residual_chart_with_h.png ├── kf_book ├── 538.json ├── DogSimulation.py ├── LICENSE.txt ├── __init__.py ├── adaptive_internal.py ├── book_plots.py ├── custom.css ├── ekf_internal.py ├── gaussian_internal.py ├── gh_internal.py ├── gif_animate.py ├── kf_design_internal.py ├── kf_internal.py ├── mkf_internal.py ├── nonlinear_internal.py ├── nonlinear_plots.py ├── pf_internal.py ├── smoothing_internal.py └── ukf_internal.py ├── license.html ├── pdf ├── 6x9build_book.bat ├── __init__.py ├── book.tplx ├── book6x9.tplx ├── book_old.tplx ├── book_to_pdf.bat ├── build_book ├── build_book.bat ├── build_book6x9.bat ├── build_book_html.sh ├── build_html_ipynb.py ├── clean_book ├── clean_book.bat ├── formatting.py ├── html_book ├── html_build_book ├── html_build_book.bat ├── index.ipynb ├── make_chapter.bat ├── merge_book.py ├── nbmerge.py ├── readme.txt ├── report_old.tplx ├── rm_notebook.py ├── run_notebooks.bat ├── short_build_book ├── short_merge_book.py ├── to_pdf.py ├── update_pdf.bat └── update_pdf.sh ├── requirements.txt ├── 附录A-安装.ipynb ├── 附录B-标记和符号.ipynb ├── 附录D-H无穷滤波.ipynb ├── 附录E-集合卡尔曼滤波器.ipynb ├── 附录G-设计非线性卡尔曼滤波器.ipynb ├── 附录H-最小二乘滤波.ipynb └── 附录I-性能评估分析.ipynb /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/loveuav/Kalman-and-Bayesian-Filters-in-Python/HEAD/.gitattributes -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/loveuav/Kalman-and-Bayesian-Filters-in-Python/HEAD/.gitignore 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