图 书 馆
使用卡尔曼滤波器对传感器数据进行数据清洗Usage of the Kalman filter for data cleaning of sensor data |
|
| 课程网址: | https://videolectures.net/videos/sikdd2013_kenda_kalman_filter |
| 主讲教师: | Klemen Kenda |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2013-10-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper presents a methodology for data cleaning of sensor data using the Kalman filter. The Kalman filter is an on-line algorithm and as such is ideal for usage on the sensor data streams. The Kalman filter learns parameters of a user-specified underlying model which models the phenomena the sensor is measuring. Usage of the Kalman filter is proposed to predict the expected values of the measuring process in the near future and to detect the anomalies in the data stream. Furthermore the Kalman filter prediction can be used to replace missing or invalid values in the data stream. Algorithm only requires sensor measurements as an input, which makes it ideal to be placed as near to the resource tier in the N-tier architecture as possible. |
| 关 键 词: | 数据清洗; 卡尔曼滤波; 传感器数据流 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-05-09：zsp |
| 最后编审: | 2025-05-09：zsp |
| 阅读次数: | 5 |