27.11.11, Упорядочевание выборочного множества перспективных сигналов по критерию Сложность

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Строка 11: Строка 11:
 
!Sum
 
!Sum
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.000, 0.500) at 1570<math>f_b</math> || 1.8 (7<math>f_b</math>) || 3.2 (92%) || 4.9
+
|BoCsin(3.000, 0.500) at 1570<math>f_b</math> || 1.8 (7<math>f_b</math>) || 2.7 (92%) || 4.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.250, 0.500) at 1563<math>f_b</math> || 1.9 (8<math>f_b</math>) || 3.3 (92%) || 5.1
+
|BoCsin(3.250, 0.500) at 1563<math>f_b</math> || 1.9 (8<math>f_b</math>) || 2.8 (92%) || 4.6
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 0.500) at 1562<math>f_b</math> || 2.0 (8<math>f_b</math>) || 3.4 (92%) || 5.4
+
|BoCsin(3.500, 0.500) at 1562<math>f_b</math> || 2.0 (8<math>f_b</math>) || 2.8 (92%) || 4.8
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 0.500) at 1569<math>f_b</math> || 2.0 (8<math>f_b</math>) || 3.4 (92%) || 5.4
+
|BoCsin(3.500, 0.500) at 1569<math>f_b</math> || 2.0 (8<math>f_b</math>) || 2.8 (92%) || 4.8
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.750, 0.500) at 1568<math>f_b</math> || 2.1 (8<math>f_b</math>) || 3.6 (93%) || 5.8
+
|BoCsin(3.750, 0.500) at 1568<math>f_b</math> || 2.1 (8<math>f_b</math>) || 2.8 (93%) || 4.9
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.000, 0.500) at 1568<math>f_b</math> || 2.3 (9<math>f_b</math>) || 3.7 (93%) || 6.0  
+
|BoCsin(4.000, 0.500) at 1568<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.8 (93%) || 5.0  
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.250, 0.500) at 1567<math>f_b</math> || 2.4 (10<math>f_b</math>) || 3.9 (94%) || 6.3
+
|BoCsin(4.250, 0.500) at 1567<math>f_b</math> || 2.4 (10<math>f_b</math>) || 2.8 (94%) || 5.2
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 0.500) at 1567<math>f_b</math> || 2.5 (10<math>f_b</math>) || 4.2 (94%) || 6.7
+
|BoCsin(4.500, 0.500) at 1567<math>f_b</math> || 2.5 (10<math>f_b</math>) || 2.8 (94%) || 5.3
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.750, 0.500) at 1566<math>f_b</math> || 2.6 (10<math>f_b</math>) || 4.1 (94%) || 6.8
+
|BoCsin(4.750, 0.500) at 1566<math>f_b</math> || 2.6 (10<math>f_b</math>) || 2.8 (94%) || 5.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 0.500) at 1566<math>f_b</math> || 2.8 (11<math>f_b</math>) || 4.5 (95%) || 7.2
+
|BoCsin(5.000, 0.500) at 1566<math>f_b</math> || 2.8 (11<math>f_b</math>) || 2.8 (95%) || 5.6
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.500) at 1565<math>f_b</math> || 2.9 (12<math>f_b</math>) || 4.3 (94%) || 7.2
+
|BoCsin(5.250, 0.500) at 1565<math>f_b</math> || 2.9 (12<math>f_b</math>) || 2.8 (94%) || 5.7
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 0.500) at 1564<math>f_b</math> || 3.0 (12<math>f_b</math>) || 4.8 (95%) || 7.8
+
|BoCsin(5.500, 0.500) at 1564<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.9 (95%) || 5.9
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 0.500) at 1565<math>f_b</math> || 3.0 (12<math>f_b</math>) || 4.8 (95%) || 7.8
+
|BoCsin(5.500, 0.500) at 1565<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.9 (95%) || 5.9
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.750, 0.500) at 1564<math>f_b</math> || 3.1 (12<math>f_b</math>) || 4.9 (95%) || 8.0  
+
|BoCsin(5.750, 0.500) at 1564<math>f_b</math> || 3.1 (12<math>f_b</math>) || 2.9 (95%) || 6.0  
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 0.500) at 1564<math>f_b</math> || 3.3 (13<math>f_b</math>) || 4.7 (95%) || 8.0
+
|BoCsin(6.000, 0.500) at 1564<math>f_b</math> || 3.3 (13<math>f_b</math>) || 2.8 (95%) || 6.1
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.250, 0.500) at 1564<math>f_b</math> || 3.4 (14<math>f_b</math>) || 4.9 (95%) || 8.3
+
|BoCsin(6.250, 0.500) at 1564<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.9 (95%) || 6.2
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.500, 0.500) at 1565<math>f_b</math> || 3.5 (14<math>f_b</math>) || 5.3 (96%) || 8.8
+
|BoCsin(6.500, 0.500) at 1565<math>f_b</math> || 3.5 (14<math>f_b</math>) || 2.9 (96%) || 6.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.750, 0.500) at 1565<math>f_b</math> || 3.6 (14<math>f_b</math>) || 4.9 (95%) || 8.5  
+
|BoCsin(6.750, 0.500) at 1565<math>f_b</math> || 3.6 (14<math>f_b</math>) || 2.9 (95%) || 6.5  
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.000, 0.750) at 1564<math>f_b</math> || 1.9 (8<math>f_b</math>) || 2.4 (87%) || 4.2
+
|BoCsin(3.000, 0.750) at 1564<math>f_b</math> || 1.9 (8<math>f_b</math>) || 2.6 (87%) || 4.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.375, 0.750) at 1562<math>f_b</math> || 2.1 (8<math>f_b</math>) || 2.6 (89%) || 4.7  
+
|BoCsin(3.375, 0.750) at 1562<math>f_b</math> || 2.1 (8<math>f_b</math>) || 2.7 (89%) || 4.7  
 
|- align="center"
 
|- align="center"
 
|BoCsin(3.750, 0.750) at 1568<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.7 (89%) || 4.9  
 
|BoCsin(3.750, 0.750) at 1568<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.7 (89%) || 4.9  
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.125, 0.750) at 1568<math>f_b</math> || 2.4 (10<math>f_b</math>) || 2.9 (90%) || 5.3
+
|BoCsin(4.125, 0.750) at 1568<math>f_b</math> || 2.4 (10<math>f_b</math>) || 2.7 (90%) || 5.2
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 0.750) at 1567<math>f_b</math> || 2.6 (10<math>f_b</math>) || 3.1 (91%) || 5.7
+
|BoCsin(4.500, 0.750) at 1567<math>f_b</math> || 2.6 (10<math>f_b</math>) || 2.7 (91%) || 5.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.875, 0.750) at 1566<math>f_b</math> || 2.8 (11<math>f_b</math>) || 3.3 (92%) || 6.1
+
|BoCsin(4.875, 0.750) at 1566<math>f_b</math> || 2.8 (11<math>f_b</math>) || 2.8 (92%) || 5.6
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.750) at 1564<math>f_b</math> || 3.0 (12<math>f_b</math>) || 3.3 (92%) || 6.3
+
|BoCsin(5.250, 0.750) at 1564<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.8 (92%) || 5.8
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.750) at 1565<math>f_b</math> || 3.0 (12<math>f_b</math>) || 3.3 (92%) || 6.3
+
|BoCsin(5.250, 0.750) at 1565<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.8 (92%) || 5.8
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 0.750) at 1565<math>f_b</math> || 3.2 (13<math>f_b</math>) || 3.6 (93%) || 6.8
+
|BoCsin(5.625, 0.750) at 1565<math>f_b</math> || 3.2 (13<math>f_b</math>) || 2.8 (93%) || 6.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 0.750) at 1564<math>f_b</math> || 3.4 (14<math>f_b</math>) || 3.7 (93%) || 7.1
+
|BoCsin(6.000, 0.750) at 1564<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.8 (93%) || 6.2
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.375, 0.750) at 1565<math>f_b</math> || 3.6 (14<math>f_b</math>) || 3.9 (93%) || 7.4  
+
|BoCsin(6.375, 0.750) at 1565<math>f_b</math> || 3.6 (14<math>f_b</math>) || 2.8 (93%) || 6.4  
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 1.000) at 1562<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.2 (86%) || 4.4
+
|BoCsin(3.500, 1.000) at 1562<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.6 (86%) || 4.8
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 1.000) at 1567<math>f_b</math> || 2.8 (11<math>f_b</math>) || 2.6 (89%) || 5.3
+
|BoCsin(4.500, 1.000) at 1567<math>f_b</math> || 2.8 (11<math>f_b</math>) || 2.7 (89%) || 5.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 1.000) at 1566<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.8 (90%) || 5.8
+
|BoCsin(5.000, 1.000) at 1566<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.7 (90%) || 5.7
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 1.000) at 1565<math>f_b</math> || 3.3 (13<math>f_b</math>) || 2.9 (91%) || 6.2
+
|BoCsin(5.500, 1.000) at 1565<math>f_b</math> || 3.3 (13<math>f_b</math>) || 2.7 (91%) || 6.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 1.000) at 1565<math>f_b</math> || 3.5 (14<math>f_b</math>) || 3.0 (91%) || 6.5
+
|BoCsin(6.000, 1.000) at 1565<math>f_b</math> || 3.5 (14<math>f_b</math>) || 2.7 (91%) || 6.2
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.500, 1.000) at 1565<math>f_b</math> || 3.8 (15<math>f_b</math>) || 3.2 (92%) || 7.0
+
|BoCsin(6.500, 1.000) at 1565<math>f_b</math> || 3.8 (15<math>f_b</math>) || 2.8 (92%) || 6.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.125, 1.250) at 1563<math>f_b</math> || 2.2 (9<math>f_b</math>) || 1.8 (79%) || 4.0
+
|BoCsin(3.125, 1.250) at 1563<math>f_b</math> || 2.2 (9<math>f_b</math>) || 2.4 (79%) || 4.6
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.375, 1.250) at 1567<math>f_b</math> || 2.8 (11<math>f_b</math>) || 2.2 (85%) || 5.0
+
|BoCsin(4.375, 1.250) at 1567<math>f_b</math> || 2.8 (11<math>f_b</math>) || 2.6 (85%) || 5.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 1.250) at 1566<math>f_b</math> || 3.1 (12<math>f_b</math>) || 2.3 (87%) || 5.5
+
|BoCsin(5.000, 1.250) at 1566<math>f_b</math> || 3.1 (12<math>f_b</math>) || 2.6 (87%) || 5.7
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 1.250) at 1565<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.5 (88%) || 6.0
+
|BoCsin(5.625, 1.250) at 1565<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.7 (88%) || 6.1
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 1.500) at 1567<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.0 (83%) || 5.0
+
|BoCsin(4.500, 1.500) at 1567<math>f_b</math> || 3.0 (12<math>f_b</math>) || 2.5 (83%) || 5.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 1.500) at 1565<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.1 (85%) || 5.5
+
|BoCsin(5.250, 1.500) at 1565<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.5 (85%) || 5.9
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 1.500) at 1565<math>f_b</math> || 3.8 (15<math>f_b</math>) || 2.3 (87%) || 6.1
+
|BoCsin(6.000, 1.500) at 1565<math>f_b</math> || 3.8 (15<math>f_b</math>) || 2.6 (87%) || 6.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.375, 1.750) at 1567<math>f_b</math> || 3.1 (12<math>f_b</math>) || 1.8 (80%) || 4.8
+
|BoCsin(4.375, 1.750) at 1567<math>f_b</math> || 3.1 (12<math>f_b</math>) || 2.4 (80%) || 5.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 1.750) at 1565<math>f_b</math> || 3.5 (14<math>f_b</math>) || 1.9 (83%) || 5.4
+
|BoCsin(5.250, 1.750) at 1565<math>f_b</math> || 3.5 (14<math>f_b</math>) || 2.5 (83%) || 6.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.125, 1.750) at 1564<math>f_b</math> || 3.9 (16<math>f_b</math>) || 2.2 (86%) || 6.1
+
|BoCsin(6.125, 1.750) at 1564<math>f_b</math> || 3.9 (16<math>f_b</math>) || 2.6 (86%) || 6.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 3.5 (14<math>f_b</math>) || 1.8 (80%) || 5.3
+
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 3.5 (14<math>f_b</math>) || 2.4 (80%) || 5.9
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 3.4 (14<math>f_b</math>) || 1.6 (75%) || 5.0
+
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 3.4 (14<math>f_b</math>) || 2.2 (75%) || 5.6
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 3.9 (16<math>f_b</math>) || 1.8 (80%) || 5.7
+
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 3.9 (16<math>f_b</math>) || 2.4 (80%) || 6.3
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 3.8 (15<math>f_b</math>) || 1.6 (75%) || 5.3
+
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 3.8 (15<math>f_b</math>) || 2.2 (75%) || 6.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 2.750) at 1566<math>f_b</math> || 4.1 (16<math>f_b</math>) || 1.6 (75%) || 5.7
+
|BoCsin(5.500, 2.750) at 1566<math>f_b</math> || 4.1 (16<math>f_b</math>) || 2.2 (75%) || 6.4
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 3.000) at 1567<math>f_b</math> || 3.8 (15<math>f_b</math>) || 1.4 (67%) || 5.1
+
|BoCsin(4.500, 3.000) at 1567<math>f_b</math> || 3.8 (15<math>f_b</math>) || 2.0 (67%) || 5.7
 
|- align="center"
 
|- align="center"
−
|BoCsin(0.500, 0.500) at 1559<math>f_b</math> || 0.5 (2<math>f_b</math>) || 1.2 (51%) || 1.7
+
|BoCsin(0.500, 0.500) at 1559<math>f_b</math> || 0.5 (2<math>f_b</math>) || 1.5 (51%) || 2.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(0.750, 0.500) at 1559<math>f_b</math> || 0.6 (2<math>f_b</math>) || 1.4 (66%) || 2.0
+
|BoCsin(0.750, 0.500) at 1559<math>f_b</math> || 0.6 (2<math>f_b</math>) || 2.0 (66%) || 2.6
 
|- align="center"
 
|- align="center"
−
|BoCsin(1.000, 0.500) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 1.6 (75%) || 2.3  
+
|BoCsin(1.000, 0.500) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 2.2 (75%) || 3.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(1.250, 0.500) at 1559<math>f_b</math> || 0.9 (4<math>f_b</math>) || 1.8 (80%) || 2.7
+
|BoCsin(1.250, 0.500) at 1559<math>f_b</math> || 0.9 (4<math>f_b</math>) || 2.4 (80%) || 3.3
 
|- align="center"
 
|- align="center"
−
|BoCsin(1.500, 0.500) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 2.0 (83%) || 3.0
+
|BoCsin(1.500, 0.500) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 2.5 (83%) || 3.5
 
|- align="center"
 
|- align="center"
−
|BoCsin(0.750, 0.750) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 1.2 (50%) || 2.0
+
|BoCsin(0.750, 0.750) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 1.5 (50%) || 2.3
 
|- align="center"
 
|- align="center"
−
|BoCsin(1.125, 0.750) at 1559<math>f_b</math> || 0.9 (4<math>f_b</math>) || 1.4 (67%) || 2.3  
+
|BoCsin(1.125, 0.750) at 1559<math>f_b</math> || 0.9 (4<math>f_b</math>) || 2.0 (67%) || 3.0
 
|- align="center"
 
|- align="center"
−
|BoCsin(1.000, 1.000) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 1.2 (51%) || 2.2  
+
|BoCsin(1.000, 1.000) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 1.5 (51%) || 2.5
 +
|}
 +
 
 +
== BoCcos(m, n) ==
 +
 
 +
{| class="wikitable sortable" border="1"
 +
|+ Partial complexity of BoC<sub>cos</sub> signal, scores
 +
|- align="center"
 +
!Signal
 +
!Band
 +
!Second peak
 +
!Sum
 +
|- align="center"
 +
|BoCcos(2.500, 0.500) at 1566<math>f_b</math> || 1.5 (6<math>f_b</math>) || 2.7 (89%) || 4.2
 +
|- align="center"
 +
|BoCcos(2.750, 0.500) at 1565<math>f_b</math> || 1.6 (6<math>f_b</math>) || 2.7 (91%) || 4.3
 +
|- align="center"
 +
|BoCcos(3.000, 0.500) at 1564<math>f_b</math> || 1.8 (7<math>f_b</math>) || 2.7 (91%) || 4.5
 +
|- align="center"
 +
|BoCcos(3.250, 0.500) at 1563<math>f_b</math> || 1.9 (8<math>f_b</math>) || 2.8 (92%) || 4.6
 +
|- align="center"
 +
|BoCcos(3.500, 0.500) at 1562<math>f_b</math> || 2.0 (8<math>f_b</math>) || 2.8 (92%) || 4.8
 +
|- align="center"
 +
|BoCcos(3.750, 0.500) at 1562<math>f_b</math> || 2.1 (8<math>f_b</math>) || 2.8 (93%) || 4.9
 +
|- align="center"
 +
|BoCcos(2.625, 0.750) at 1565<math>f_b</math> || 1.7 (7<math>f_b</math>) || 2.6 (86%) || 4.3
 +
|- align="center"
 +
|BoCcos(3.000, 0.750) at 1564<math>f_b</math> || 1.9 (8<math>f_b</math>) || 2.6 (87%) || 4.5
 +
|- align="center"
 +
|BoCcos(3.375, 0.750) at 1561<math>f_b</math> || 2.1 (8<math>f_b</math>) || 2.7 (89%) || 4.7
 +
|- align="center"
 +
|BoCcos(3.750, 0.750) at 1562<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.7 (90%) || 4.9
 +
|- align="center"
 +
|BoCcos(3.000, 1.000) at 1564<math>f_b</math> || 2.0 (8<math>f_b</math>) || 2.5 (83%) || 4.5
 +
|- align="center"
 +
|BoCcos(3.500, 1.000) at 1562<math>f_b</math> || 2.3 (9<math>f_b</math>) || 2.6 (85%) || 4.8
 +
|- align="center"
 +
|BoCcos(3.125, 1.250) at 1563<math>f_b</math> || 2.2 (9<math>f_b</math>) || 2.4 (80%) || 4.6
 +
|- align="center"
 +
|BoCcos(0.500, 0.500) at 1559<math>f_b</math> || 0.5 (2<math>f_b</math>) || 1.5 (49%) || 2.0
 +
|- align="center"
 +
|BoCcos(0.750, 0.500) at 1559<math>f_b</math> || 0.6 (2<math>f_b</math>) || 2.0 (66%) || 2.6
 +
|- align="center"
 +
|BoCcos(1.000, 0.500) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 2.2 (75%) || 3.0
 +
|- align="center"
 +
|BoCcos(1.250, 0.500) at 1559<math>f_b</math> || 0.9 (4<math>f_b</math>) || 2.4 (80%) || 3.3
 +
|- align="center"
 +
|BoCcos(1.500, 0.500) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 2.5 (83%) || 3.5
 +
|- align="center"
 +
|BoCcos(0.750, 0.750) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 1.5 (52%) || 2.3
 +
|- align="center"
 +
|BoCcos(1.125, 0.750) at 1559<math>f_b</math> || 0.9 (4<math>f_b</math>) || 2.0 (67%) || 2.9
 +
|- align="center"
 +
|BoCcos(1.000, 1.000) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 1.5 (50%) || 2.5
 +
|}
 +
 
 +
== BPSK(n) ==
 +
 
 +
{| class="wikitable sortable" border="1"
 +
|+ Partial complexity of BPSK signal, scores
 +
|- align="center"
 +
!Signal
 +
!Band
 +
!Second peak
 +
!Sum
 +
|- align="center"
 +
|BPSK(0.500) at 1558<math>f_b</math> || 0.3 (1<math>f_b</math>) || 0.0 (0%) || 0.3
 +
|- align="center"
 +
|BPSK(0.750) at 1558<math>f_b</math> || 0.4 (2<math>f_b</math>) || 0.0 (1%) || 0.4
 +
|- align="center"
 +
|BPSK(1.000) at 1559<math>f_b</math> || 0.5 (2<math>f_b</math>) || 0.0 (0%) || 0.5
 +
|- align="center"
 +
|BPSK(1.500) at 1559<math>f_b</math> || 0.8 (3<math>f_b</math>) || 0.0 (0%) || 0.8
 +
|- align="center"
 +
|BPSK(2.000) at 1560<math>f_b</math> || 1.0 (4<math>f_b</math>) || 0.0 (0%) || 1.0
 
|}  
 
|}  
 
{{wl-publish: 2011-11-27 17:17:07 +0400 | Korogodin }}
 
{{wl-publish: 2011-11-27 17:17:07 +0400 | Korogodin }}

Текущая версия на 17:32, 27 ноября 2011

[править] BoCsin(m, n)

Partial complexity of BoCsin L1 signal, scores
Signal Band Second peak Sum
BoCsin(3.000, 0.500) at 1570f_b 1.8 (7f_b) 2.7 (92%) 4.5
BoCsin(3.250, 0.500) at 1563f_b 1.9 (8f_b) 2.8 (92%) 4.6
BoCsin(3.500, 0.500) at 1562f_b 2.0 (8f_b) 2.8 (92%) 4.8
BoCsin(3.500, 0.500) at 1569f_b 2.0 (8f_b) 2.8 (92%) 4.8
BoCsin(3.750, 0.500) at 1568f_b 2.1 (8f_b) 2.8 (93%) 4.9
BoCsin(4.000, 0.500) at 1568f_b 2.3 (9f_b) 2.8 (93%) 5.0
BoCsin(4.250, 0.500) at 1567f_b 2.4 (10f_b) 2.8 (94%) 5.2
BoCsin(4.500, 0.500) at 1567f_b 2.5 (10f_b) 2.8 (94%) 5.3
BoCsin(4.750, 0.500) at 1566f_b 2.6 (10f_b) 2.8 (94%) 5.4
BoCsin(5.000, 0.500) at 1566f_b 2.8 (11f_b) 2.8 (95%) 5.6
BoCsin(5.250, 0.500) at 1565f_b 2.9 (12f_b) 2.8 (94%) 5.7
BoCsin(5.500, 0.500) at 1564f_b 3.0 (12f_b) 2.9 (95%) 5.9
BoCsin(5.500, 0.500) at 1565f_b 3.0 (12f_b) 2.9 (95%) 5.9
BoCsin(5.750, 0.500) at 1564f_b 3.1 (12f_b) 2.9 (95%) 6.0
BoCsin(6.000, 0.500) at 1564f_b 3.3 (13f_b) 2.8 (95%) 6.1
BoCsin(6.250, 0.500) at 1564f_b 3.4 (14f_b) 2.9 (95%) 6.2
BoCsin(6.500, 0.500) at 1565f_b 3.5 (14f_b) 2.9 (96%) 6.4
BoCsin(6.750, 0.500) at 1565f_b 3.6 (14f_b) 2.9 (95%) 6.5
BoCsin(3.000, 0.750) at 1564f_b 1.9 (8f_b) 2.6 (87%) 4.5
BoCsin(3.375, 0.750) at 1562f_b 2.1 (8f_b) 2.7 (89%) 4.7
BoCsin(3.750, 0.750) at 1568f_b 2.3 (9f_b) 2.7 (89%) 4.9
BoCsin(4.125, 0.750) at 1568f_b 2.4 (10f_b) 2.7 (90%) 5.2
BoCsin(4.500, 0.750) at 1567f_b 2.6 (10f_b) 2.7 (91%) 5.4
BoCsin(4.875, 0.750) at 1566f_b 2.8 (11f_b) 2.8 (92%) 5.6
BoCsin(5.250, 0.750) at 1564f_b 3.0 (12f_b) 2.8 (92%) 5.8
BoCsin(5.250, 0.750) at 1565f_b 3.0 (12f_b) 2.8 (92%) 5.8
BoCsin(5.625, 0.750) at 1565f_b 3.2 (13f_b) 2.8 (93%) 6.0
BoCsin(6.000, 0.750) at 1564f_b 3.4 (14f_b) 2.8 (93%) 6.2
BoCsin(6.375, 0.750) at 1565f_b 3.6 (14f_b) 2.8 (93%) 6.4
BoCsin(3.500, 1.000) at 1562f_b 2.3 (9f_b) 2.6 (86%) 4.8
BoCsin(4.500, 1.000) at 1567f_b 2.8 (11f_b) 2.7 (89%) 5.4
BoCsin(5.000, 1.000) at 1566f_b 3.0 (12f_b) 2.7 (90%) 5.7
BoCsin(5.500, 1.000) at 1565f_b 3.3 (13f_b) 2.7 (91%) 6.0
BoCsin(6.000, 1.000) at 1565f_b 3.5 (14f_b) 2.7 (91%) 6.2
BoCsin(6.500, 1.000) at 1565f_b 3.8 (15f_b) 2.8 (92%) 6.5
BoCsin(3.125, 1.250) at 1563f_b 2.2 (9f_b) 2.4 (79%) 4.6
BoCsin(4.375, 1.250) at 1567f_b 2.8 (11f_b) 2.6 (85%) 5.4
BoCsin(5.000, 1.250) at 1566f_b 3.1 (12f_b) 2.6 (87%) 5.7
BoCsin(5.625, 1.250) at 1565f_b 3.4 (14f_b) 2.7 (88%) 6.1
BoCsin(4.500, 1.500) at 1567f_b 3.0 (12f_b) 2.5 (83%) 5.5
BoCsin(5.250, 1.500) at 1565f_b 3.4 (14f_b) 2.5 (85%) 5.9
BoCsin(6.000, 1.500) at 1565f_b 3.8 (15f_b) 2.6 (87%) 6.4
BoCsin(4.375, 1.750) at 1567f_b 3.1 (12f_b) 2.4 (80%) 5.5
BoCsin(5.250, 1.750) at 1565f_b 3.5 (14f_b) 2.5 (83%) 6.0
BoCsin(6.125, 1.750) at 1564f_b 3.9 (16f_b) 2.6 (86%) 6.5
BoCsin(5.000, 2.000) at 1566f_b 3.5 (14f_b) 2.4 (80%) 5.9
BoCsin(4.500, 2.250) at 1566f_b 3.4 (14f_b) 2.2 (75%) 5.6
BoCsin(5.625, 2.250) at 1565f_b 3.9 (16f_b) 2.4 (80%) 6.3
BoCsin(5.000, 2.500) at 1565f_b 3.8 (15f_b) 2.2 (75%) 6.0
BoCsin(5.500, 2.750) at 1566f_b 4.1 (16f_b) 2.2 (75%) 6.4
BoCsin(4.500, 3.000) at 1567f_b 3.8 (15f_b) 2.0 (67%) 5.7
BoCsin(0.500, 0.500) at 1559f_b 0.5 (2f_b) 1.5 (51%) 2.0
BoCsin(0.750, 0.500) at 1559f_b 0.6 (2f_b) 2.0 (66%) 2.6
BoCsin(1.000, 0.500) at 1559f_b 0.8 (3f_b) 2.2 (75%) 3.0
BoCsin(1.250, 0.500) at 1559f_b 0.9 (4f_b) 2.4 (80%) 3.3
BoCsin(1.500, 0.500) at 1560f_b 1.0 (4f_b) 2.5 (83%) 3.5
BoCsin(0.750, 0.750) at 1559f_b 0.8 (3f_b) 1.5 (50%) 2.3
BoCsin(1.125, 0.750) at 1559f_b 0.9 (4f_b) 2.0 (67%) 3.0
BoCsin(1.000, 1.000) at 1560f_b 1.0 (4f_b) 1.5 (51%) 2.5

[править] BoCcos(m, n)

Partial complexity of BoCcos signal, scores
Signal Band Second peak Sum
BoCcos(2.500, 0.500) at 1566f_b 1.5 (6f_b) 2.7 (89%) 4.2
BoCcos(2.750, 0.500) at 1565f_b 1.6 (6f_b) 2.7 (91%) 4.3
BoCcos(3.000, 0.500) at 1564f_b 1.8 (7f_b) 2.7 (91%) 4.5
BoCcos(3.250, 0.500) at 1563f_b 1.9 (8f_b) 2.8 (92%) 4.6
BoCcos(3.500, 0.500) at 1562f_b 2.0 (8f_b) 2.8 (92%) 4.8
BoCcos(3.750, 0.500) at 1562f_b 2.1 (8f_b) 2.8 (93%) 4.9
BoCcos(2.625, 0.750) at 1565f_b 1.7 (7f_b) 2.6 (86%) 4.3
BoCcos(3.000, 0.750) at 1564f_b 1.9 (8f_b) 2.6 (87%) 4.5
BoCcos(3.375, 0.750) at 1561f_b 2.1 (8f_b) 2.7 (89%) 4.7
BoCcos(3.750, 0.750) at 1562f_b 2.3 (9f_b) 2.7 (90%) 4.9
BoCcos(3.000, 1.000) at 1564f_b 2.0 (8f_b) 2.5 (83%) 4.5
BoCcos(3.500, 1.000) at 1562f_b 2.3 (9f_b) 2.6 (85%) 4.8
BoCcos(3.125, 1.250) at 1563f_b 2.2 (9f_b) 2.4 (80%) 4.6
BoCcos(0.500, 0.500) at 1559f_b 0.5 (2f_b) 1.5 (49%) 2.0
BoCcos(0.750, 0.500) at 1559f_b 0.6 (2f_b) 2.0 (66%) 2.6
BoCcos(1.000, 0.500) at 1559f_b 0.8 (3f_b) 2.2 (75%) 3.0
BoCcos(1.250, 0.500) at 1559f_b 0.9 (4f_b) 2.4 (80%) 3.3
BoCcos(1.500, 0.500) at 1560f_b 1.0 (4f_b) 2.5 (83%) 3.5
BoCcos(0.750, 0.750) at 1559f_b 0.8 (3f_b) 1.5 (52%) 2.3
BoCcos(1.125, 0.750) at 1559f_b 0.9 (4f_b) 2.0 (67%) 2.9
BoCcos(1.000, 1.000) at 1560f_b 1.0 (4f_b) 1.5 (50%) 2.5

[править] BPSK(n)

Partial complexity of BPSK signal, scores
Signal Band Second peak Sum
BPSK(0.500) at 1558f_b 0.3 (1f_b) 0.0 (0%) 0.3
BPSK(0.750) at 1558f_b 0.4 (2f_b) 0.0 (1%) 0.4
BPSK(1.000) at 1559f_b 0.5 (2f_b) 0.0 (0%) 0.5
BPSK(1.500) at 1559f_b 0.8 (3f_b) 0.0 (0%) 0.8
BPSK(2.000) at 1560f_b 1.0 (4f_b) 0.0 (0%) 1.0

— Корогодин Илья • 17:17, 27 ноября 2011 • нет комментариев

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