Smoothing method and apparatus for time data sequences

摘要

According to one exemplary embodiment, a smoothing method for time data sequences is performed, which includes: smoothing original data points of a time data sequence, then from smoothed data points, determining reference points for a global trajectory and a local trajectory; according to the reference points, calculating a direction of the global trajectory and a direction of the local trajectory; and adaptively calculating new data point(s) by integrating the two directions. The trajectory of new data points maintains the properties of smoothness and real-time perception.

主权项

1. A smoothing method for time data sequences, the method is executed by a hardware processor to perform:
smoothing a plurality of original data points of a time data sequence, then from a plurality of smoothed data points, determining a plurality of reference points for a current global-trajectory trend and a current local-trajectory trend; calculating a global trajectory direction and a local trajectory direction of the time data sequence; according to the plurality of reference points; and adaptively calculating at least one new data point by integrating the global trajectory direction and the local trajectory direction, wherein in the plurality of reference points, there are a first reference point, a second reference point and a third reference point, the first reference point is a tracked-back first smoothed data point from a current time, and ensures and responds in real-time to the current local-trajectory trend, a connection direction between the second reference point and the third reference point is a direction of a representative reference section of the current global-trajectory trend.