Title: Kalman-Filter-SVR-master
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Description: Matlab implementation of Kalman filter
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| 文件名 | 大小 | 更新时间 | ||
|---|---|---|---|---|
| Kalman-Filter-SVR-master | 0 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\O_Trajectory.m | 7102 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\README.md | 76 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\S_Trajectory.m | 8660 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\W_Trajectory.m | 8139 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\Y.mat | 725445 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\kf_predict.m | 565 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\kf_update.m | 667 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\main.m | 15108 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\实验结果 | 0 | 2016-07-20 | ||
| Kalman-Filter-SVR-master\实验结果\scenario 1.v_0=10 | a=2 | 0 | 2016-07-20 | |
| Kalman-Filter-SVR-master\实验结果\scenario 1.v_0=10 | a=2\MonteCarlo_10000.fig | 1982957 | 2016-07-20 | |
| Kalman-Filter-SVR-master\实验结果\scenario 1.v_0=10 | a=2\MonteCarlo_10000.txt | 228 | 2016-07-20 | |
| Kalman-Filter-SVR-master\实验结果\scenario 1.v_0=10 | a=2\trajectory.fig | 73971 | 2016-07-20 | |
| Kalman-Filter-SVR-master\实验结果\scenario 2.v_0=10 | a_0=2 | j=0.5 | 0 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 2.v_0=10 | a_0=2 | j=0.5\MonteCarlo_10000.fig | 1986849 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 2.v_0=10 | a_0=2 | j=0.5\MonteCarlo_10000.txt | 228 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 2.v_0=10 | a_0=2 | j=0.5\trajectory.fig | 64860 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 3.v_0=10 | a_0=2 | j=1 | 0 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 3.v_0=10 | a_0=2 | j=1\MonteCarlo_10000.fig | 1983432 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 3.v_0=10 | a_0=2 | j=1\MonteCarlo_10000.txt | 229 | 2016-07-20 |
| Kalman-Filter-SVR-master\实验结果\scenario 3.v_0=10 | a_0=2 | j=1\trajectory.fig | 58896 | 2016-07-20 |