TAN Yi Ji

Appointment: Research Fellow

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431 to 440 of 473 Results

Output Phase (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 8.5 KB - MD5: f40246ebe2001bb4703751cd86972d40 Required data for Figure 5 to 7.
Output Phase (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 8.5 KB - MD5: 6637e750543cdd8db5cc3e2bce2f31f0 Required data for Figure 5 to 7.
phase [f = 1 THz, p = 75 um, lz = 200 um].txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 71.7 KB - MD5: 2d3b3db4d545915dd2c2a75cbf1a87f0 Required data for Figure 8.
phaseMN.txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 9.8 KB - MD5: da6964b94fd024dd97002166b2d1aabd Required data for Figure 9 and 10.
Power Spectrum.txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 26.8 KB - MD5: 33a7a349124a83922ecbfb353d3c7b20 Required data for Figure 9.
Si [dir = +1, f = 1 THz, p = 75 um, lz = 200 um].mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 321.9 KB - MD5: 65f897d8e37babc2f03e30047887ed8a Required data for Figure 8.
Si - phase [dir = +1, f = 1 THz, p = 75 um, lz = 200 um].txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 64.1 KB - MD5: 3c6169c85e79f4019eb4940f04738588 Required data for Figure 8.
theta = 15, phi = -135.csv Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Comma Separated Values - 1003.8 KB - MD5: 90a49dfc446e79cc32578e8350016143 Required data for Figure 9.
theta = 20, phi = -10.tab Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Tabular Data - 1000.8 KB - 340 Variables, 339 Observations - UNF:6:EK30gJefUqwbv/jo/IQ9pA== Required data for Figure 9.
theta = 25, phi = 50.tab Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Tabular Data - 1000.3 KB - 340 Variables, 339 Observations - UNF:6:S8colQsykhGUDAgWGPlQxw== Required data for Figure 9.

Output Phase (maximum).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 8.5 KB -

Required data for Figure 5 to 7.

Output Phase (random).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 8.5 KB -

Required data for Figure 5 to 7.

phase [f = 1 THz, p = 75 um, lz = 200 um].txt

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

Plain Text - 71.7 KB -

Required data for Figure 8.