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Table 1 DAE algorithm feature selection simplifies experimental data

From: Indoor location method of interference source based on deep learning of spectrum fingerprint features in Smart Cyber-Physical systems

Class label

RSSI/(dBm)

f/(Mhz)

RSSI1

RSSI2

RSSI3

RSSI4

RSSI5

RSSI6

f1

f2

f3

f4

f5

f6

L 11

− 52.5

− 50.2

− 51.8

− 49.1

− 51.6

− 53.9

1.803

1.767

1.851

1.785

1.845

1.829

L 12

− 50.2

− 49.6

− 50.2

− 51.6

− 50.3

− 49.6

1.813

1.827

1.869

1.807

1.856

1.863

L 13

− 49.6

− 48.3

− 49.7

− 48.5

− 50.1

− 50.5

1.821

1.837

1.758

1.812

1.846

1.829

L 14

− 50.5

− 49.4

− 51.3

− 50.7

− 51.5

− 51.7

1.809

1.826

1.873

1.774

1.871

1.817

L 21

− 51.4

− 51.5

− 50.7

− 49.3

− 49.4

− 50.5

1.858

1.842

1.845

1.856

1.855

1.829

L 22

− 43.9

− 44.7

− 43.5

− 42.2

− 44.5

− 43.2

1.783

1.851

1.841

1.821

1.869

1.855

L 23

− 43.2

− 44.1

− 43.8

− 44.7

− 41.6

− 42.5

1.861

1.844

1.856

1.809

1.841

1.828

L 24

− 50.6

− 49.5

− 49.8

− 51.2

− 49.6

− 50.3

1.834

1.861

1.863

1.845

1.857

1.864