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文件名称:Kalman
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- 上传时间:2015-04-21
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文件大小:640.12kb
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目标跟踪问题的应用背景是电子侦测方法,即电子侦查采用截获信号分析的手段,获取电子干扰和情报侦查所需要的信息。-Passive location algorithm of angle measurement
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Kalman/
Kalman/AR_to_SS.m
Kalman/README
Kalman/README.txt
Kalman/README.txt~
Kalman/SS_to_AR.m
Kalman/SampleVideo.avi
Kalman/convert_to_lagged_form.m
Kalman/ensure_AR.m
Kalman/eval_AR_perf.m
Kalman/extract.m
Kalman/gaussian_prob.m
Kalman/hs_err_pid3492.log
Kalman/kalman.m
Kalman/kalman_filter.m
Kalman/kalman_forward_backward.m
Kalman/kalman_smoother.m
Kalman/kalman_update.asv
Kalman/kalman_update.m
Kalman/learn_AR.m
Kalman/learn_AR_diagonal.m
Kalman/learn_kalman.m
Kalman/learning_demo.m
Kalman/plot_ellipse.m
Kalman/plotcov2.m
Kalman/plotgauss2d.m
Kalman/process_options.m
Kalman/sample_gaussian.m
Kalman/sample_lds.asv
Kalman/sample_lds.m
Kalman/smooth_update.asv
Kalman/smooth_update.m
Kalman/testKalman.m
Kalman/tracking_demo.m
Kalman/AR_to_SS.m
Kalman/README
Kalman/README.txt
Kalman/README.txt~
Kalman/SS_to_AR.m
Kalman/SampleVideo.avi
Kalman/convert_to_lagged_form.m
Kalman/ensure_AR.m
Kalman/eval_AR_perf.m
Kalman/extract.m
Kalman/gaussian_prob.m
Kalman/hs_err_pid3492.log
Kalman/kalman.m
Kalman/kalman_filter.m
Kalman/kalman_forward_backward.m
Kalman/kalman_smoother.m
Kalman/kalman_update.asv
Kalman/kalman_update.m
Kalman/learn_AR.m
Kalman/learn_AR_diagonal.m
Kalman/learn_kalman.m
Kalman/learning_demo.m
Kalman/plot_ellipse.m
Kalman/plotcov2.m
Kalman/plotgauss2d.m
Kalman/process_options.m
Kalman/sample_gaussian.m
Kalman/sample_lds.asv
Kalman/sample_lds.m
Kalman/smooth_update.asv
Kalman/smooth_update.m
Kalman/testKalman.m
Kalman/tracking_demo.m
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