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anomalies? #23

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Royalwal opened this issue Jun 22, 2020 · 1 comment
Open

anomalies? #23

Royalwal opened this issue Jun 22, 2020 · 1 comment

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@Royalwal
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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
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Yancy456 commented Feb 22, 2022

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

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