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data.csv
ADDED
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1 |
+
idx,label,Length_mm,Width_mm,S11_dB,Gain_dBi,Directivity_dBi
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2 |
+
0,HighGain,30,50,-10.0,12.5,12.5
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3 |
+
1,ModerateGain,25,45,-12.0,10.8,10.8
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4 |
+
2,LowGain,20,40,-15.0,9.0,9.0
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5 |
+
3,Optimized,32,55,-11.0,13.2,13.2
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6 |
+
4,Ideal,35,60,-13.0,-12.0,12.0
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7 |
+
5,HighGain,33,53,-9.5,13.5,13.5
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8 |
+
6,ModerateGain,27,47,-13.0,11.2,11.2
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9 |
+
7,LowGain,18,38,-17.0,-11.0,11.0
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10 |
+
8,Optimized,37,58,-10.5,13.8,13.8
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11 |
+
9,HighGain,30,50,-10.0,12.5,12.5
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12 |
+
10,HighGain_001,38,58,-12.0,14.1,14.1
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13 |
+
11,ModerateGain,23,42,-11.5,10.2,10.2
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14 |
+
12,Sample1,18,38,-18.0,-5.0,5.0
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15 |
+
13,Optimized,31,53,-12.0,11.8,11.8
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16 |
+
14,Ideal_A,34,58,-12.5,13.8,13.8
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17 |
+
15,HighGain,34,54,-8.8,14.0,14.0
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18 |
+
16,ModerateGain,23,43,-14.0,9.6,9.6
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19 |
+
17,LowGain,22,42,-16.0,-10.0,10.0
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20 |
+
18,Optimized,39,57,-10.2,14.1,14.1
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21 |
+
19,ModerateGain,25,45,-12.0,10.8,10.8
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22 |
+
20,HighGain_002,34,52,-11.0,13.7,13.7
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23 |
+
21,ModerateGain,26,47,-11.8,10.5,10.5
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24 |
+
22,Sample2,22,42,-16.0,-4.5,4.5
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25 |
+
23,Optimized,34,58,-14.0,12.9,12.9
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26 |
+
24,Ideal_B,33,57,-12.0,13.5,13.5
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27 |
+
25,HighGain,36,58,-10.2,15.2,15.2
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28 |
+
26,ModerateGain,22,42,-14.0,9.2,9.2
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29 |
+
27,LowGain,19,37,-18.0,-9.0,9.5
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30 |
+
28,Optimized,40,56,-9.9,14.5,14.5
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31 |
+
29,LowGain,20,40,-15.0,9.0,9.0
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32 |
+
30,HighGain_003,40,60,-10.0,15.2,15.2
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33 |
+
31,ModerateGain,22,43,-12.0,9.8,9.8
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34 |
+
32,Sample3,24,44,-17.0,-4.8,4.8
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35 |
+
33,Optimized,33,56,-13.0,11.7,11.7
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36 |
+
34,Ideal_C,36,60,-11.5,14.0,14.0
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37 |
+
35,HighGain,37,60,-10.0,14.8,14.8
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38 |
+
36,ModerateGain,24,46,-13.0,10.4,10.4
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39 |
+
37,LowGain,21,40,-17.0,-9.0,9.3
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40 |
+
38,Optimized,41,55,-9.7,14.7,14.7
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41 |
+
39,Optimized,32,55,-11.0,13.2,13.2
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42 |
+
40,HighGain_004,35,55,-9.0,13.8,13.8
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43 |
+
41,ModerateGain,24,46,-12.3,10.1,10.1
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44 |
+
42,Sample4,19,39,-19.0,-5.2,5.2
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45 |
+
43,Optimized,30,52,-11.0,12.3,12.3
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46 |
+
44,Ideal_D,31,53,-11.0,12.2,12.2
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47 |
+
45,HighGain,38,62,-9.8,15.0,15.0
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48 |
+
46,ModerateGain,28,53,-12.0,11.8,11.8
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49 |
+
47,LowGain,20,39,-19.0,-8.0,8.5
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50 |
+
48,Optimized,42,54,-9.4,15.0,15.0
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51 |
+
49,Ideal,35,60,-13.0,-12.0,12.0
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52 |
+
50,HighGain_005,36,57,-13.0,14.3,14.3
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53 |
+
51,ModerateGain,25,44,-12.5,10.3,10.3
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54 |
+
52,Sample5,20,40,-20.0,-5.0,5.0
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55 |
+
53,Optimized,32,54,-12.0,12.5,12.5
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56 |
+
54,Ideal_E,37,61,-10.5,14.3,14.3
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57 |
+
55,HighGain,40,65,-9.6,16.0,16.0
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58 |
+
56,ModerateGain,26,50,-13.0,11.4,11.4
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59 |
+
57,LowGain,23,43,-16.0,-7.0,7.8
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60 |
+
58,Optimized,43,53,-9.1,15.2,15.2
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61 |
+
59,Ideal,37,62,-14.0,-13.0,12.5
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62 |
+
60,HighGain_006,39,61,-14.0,13.5,13.5
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63 |
+
61,ModerateGain,23,41,-11.7,9.9,9.9
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64 |
+
62,Sample6,21,41,-18.0,-4.7,4.7
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65 |
+
63,Optimized,33,57,-14.0,12.8,12.8
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66 |
+
64,Ideal_F,32,56,-12.5,13.6,13.6
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67 |
+
65,HighGain,41,67,-9.4,15.8,15.8
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68 |
+
66,ModerateGain,21,41,-14.0,8.8,8.8
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69 |
+
67,LowGain,17,36,-20.0,-6.0,7.0
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70 |
+
68,Optimized,44,52,-8.9,15.4,15.4
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71 |
+
69,Ideal,33,57,-12.0,-11.0,11.8
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72 |
+
70,HighGain_007,41,62,-11.0,14.6,14.6
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73 |
+
71,ModerateGain,27,48,-11.9,10.4,10.4
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74 |
+
72,Sample7,23,43,-16.0,-4.4,4.4
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75 |
+
73,Optimized,35,61,-13.0,12.6,12.6
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76 |
+
74,Ideal_G,35,60,-11.5,14.1,14.1
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77 |
+
75,HighGain,42,69,-9.2,16.5,16.5
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78 |
+
76,ModerateGain,25,45,-13.0,10.8,10.8
|
79 |
+
77,LowGain,24,41,-15.0,-6.0,6.8
|
80 |
+
78,Optimized,45,51,-8.6,15.7,15.7
|
81 |
+
79,Ideal,34,59,-13.0,-12.0,12.2
|
82 |
+
80,HighGain_008,33,50,-12.0,12.9,12.9
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83 |
+
81,ModerateGain,21,45,-12.1,9.6,9.6
|
84 |
+
82,Sample8,26,46,-15.0,-4.1,4.1
|
85 |
+
83,Optimized,34,59,-12.0,11.9,11.9
|
86 |
+
84,Ideal_H,30,52,-13.0,11.8,11.8
|
87 |
+
85,HighGain,43,71,-9.0,17.0,17.0
|
88 |
+
86,ModerateGain,29,54,-12.0,12.2,12.2
|
89 |
+
87,LowGain,16,35,-21.0,-5.0,6.5
|
90 |
+
88,Optimized,46,50,-8.3,16.0,16.0
|
91 |
+
89,Ideal,36,61,-15.0,-13.0,12.8
|
92 |
+
90,HighGain_009,42,63,-10.0,15.4,15.4
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93 |
+
91,ModerateGain,28,49,-12.2,10.6,10.6
|
94 |
+
92,Sample9,28,48,-14.0,-4.0,4.0
|
95 |
+
93,Optimized,31,53,-12.0,12.0,12.0
|
96 |
+
94,Ideal_I,38,62,-11.0,14.5,14.5
|
97 |
+
95,HighGain,44,73,-8.9,17.2,17.2
|
98 |
+
96,ModerateGain,23,43,-13.0,9.6,9.6
|
99 |
+
97,LowGain,25,44,-14.0,-5.0,6.2
|
100 |
+
98,Optimized,47,49,-8.0,16.2,16.2
|
101 |
+
99,Ideal,38,63,-16.0,-14.0,13.3
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