 |
In the data preprocessing section, we use window (têch-nit-z) techniques for time series data. Those (têch-nit-z) techniques are: sliding window, data window size, and overlapping ratio.
======Click======
We have (ích-pi-rơ-men-tớt) experimented with these (têch-nit-z) techniques, and the (re-dốt) results are shown in the (fi-gi-ơ) figure.
This (ích-pi-rơ-men-tồ) experimental (re-dốt) result shows the effect of sliding window size and data overlaping rate.
The detection performance is stable and best at 64 sample window size and 90% overlapping ratio
|
IEEE/ICACT20220120 Slide.10
[Big Slide]