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microsoft / anomalydetector

SR-CNN
MIT License
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anomalies? #23

Open Royalwal opened 4 years ago

Royalwal commented 4 years ago

image image

The picture mark is a bit high. What is the reason for the abnormal point?(714,715)

n = 730
A = 50
center = 100
phi = 30
T = 2 * np.pi / 100
t = np.arange(n)
sin = A * np.sin(T * t - phi * T) + center
sin[235:255] = 80 //input Time series data
Yancy456 commented 2 years ago

At the beginning and end of time series,the values of spectral residual are always high,because of the uncontinuity of sequence. image