搜索kalman filter共有 15 个结果
1
Time series anomaly detection for cyber physical systems based on adaptive interactive learning
2023年第10期 : 2933-2938
doi:10.19734/j.issn.1001-3695.2023.03.0095
2
Relative localization method for multiple robots based on single UWB fusion odometry
2023年第3期 : 839-844
doi:10.19734/j.issn.1001-3695.2022.07.0381
3
Research on mobile robot localization based on improved UKF algorithm
2022年第11期 : 3303-3308
doi:10.19734/j.issn.1001-3695.2022.04.0173
4
Multi-target motion trajectory prediction algorithm based on deep learning
2022年第1期 : 296-302
doi:10.19734/j.issn.1001-3695.2021.05.0203
5
Odometry and mapping method for coupling LiDAR and IMU
2021年第7期 : 2188-2193,2199
doi:10.19734/j.issn.1001-3695.2020.06.0259
6
Outlier-identified Kalman filter for short-term traffic flow forecasting
2021年第3期 : 817-821
doi:10.19734/j.issn.1001-3695.2020.03.0070
7
Recommendation algorithm based on state space model and probabilistic matrix factorization
2020年第11期 : 3263-3266
doi:10.19734/j.issn.1001-3695.2019.08.0276
8
Research and implementation of trusted fingerprint library in indoor localization based on Kalman filter
2020年第6期 : 1835-1838
doi:10.19734/j.issn.1001-3695.2018.11.0906
9
Video multi-target detection technology based on recursive neural network
2020年第2期 : 615-620
doi:10.19734/j.issn.1001-3695.2018.05.0567
10
Demodulation of CD3S signals in multipath channel through multiple filters joint estimation
2019年第11期 : 3444-3447
doi:10.19734/j.issn.1001-3695.2018.05.0325
11
Improved least-squares and Kalman filtering real-time image stabilization
2019年第10期 : 3121-3123
doi:10.19734/j.issn.1001-3695.2018.05.0355
12
IoT health monitoring big data analysis system based on MF-R and AWS key management mechanism
2019年第7期 : 2065-2069
doi:10.19734/j.issn.1001-3695.2018.05.0275
13
Parallel ensemble learning method based on resource allocating networks for small dataset
2019年第4期 : 997-1000
doi:10.19734/j.issn.1001-3695.2017.10.0984
14
Method of EKF speed estimation for sensorless PMSM based on IGSO optimizing
2019年第4期 : 1006-1009,1014
doi:10.19734/j.issn.1001-3695.2017.10.0989
15
Augmented target state estimation algorithm with systematic errors based on maximum correntropy unscented Kalman filter in sensor networks
2019年第2期 : 570-573
doi:10.19734/j.issn.1001-3695.2017.08.0884