Этот пример показывает вам, как считать данные о канале из MDF-файла.
Прежде, чем считать данные о канале из MDF-файла, открытого доступа к файлу с mdf команда.
m = mdf('CANape.MF4')
m =
MDF with properties:
File Details
Name: 'CANape.MF4'
Path: '\\central-mi\home\jpyle\documents\MATLAB\examples\vnt-ex94427230\CANape.MF4'
Author: 'Otmar Schneider'
Department: 'PMC @ Vector Informatik GmbH'
Project: 'Demo'
Subject: 'XCPSim'
Comment: 'Example file created with Vector CANape'
Version: '4.10'
DataSize: 176545
InitialTimestamp: 2016-04-21 14:27:17.000010629
Creator Details
ProgramIdentifier: 'MCD14.02'
Creator: [1×1 struct]
File Contents
Attachment: [0×0 struct]
ChannelNames: {2×1 cell}
ChannelGroup: [1×2 struct]
read команда используется, чтобы получить данные от MDF-файла с несколькими изменениями. Требуется два первичных аргумента. Каждый - числовой индекс группы канала, из которой можно читать. Второй имя (имена) каналов в группе канала, чтобы читать. Информация об этих элементах доступна от MDF-файла.
m.ChannelGroup(1)
m.ChannelNames{1}
ans =
struct with fields:
AcquisitionName: '10 ms'
Comment: '10 ms'
NumSamples: 1993
DataSize: 153461
Sorted: 1
Channel: [1×74 struct]
ans =
74×1 cell array
{'Counter_B4' }
{'Counter_B5' }
{'Counter_B6' }
{'Counter_B7' }
{'PWM' }
{'PWM_Level' }
{'PWMFiltered' }
{'Triangle' }
{'map1_8_8_uc_measure[0][0]'}
{'map1_8_8_uc_measure[0][1]'}
{'map1_8_8_uc_measure[0][2]'}
{'map1_8_8_uc_measure[0][3]'}
{'map1_8_8_uc_measure[0][4]'}
{'map1_8_8_uc_measure[0][5]'}
{'map1_8_8_uc_measure[0][6]'}
{'map1_8_8_uc_measure[0][7]'}
{'map1_8_8_uc_measure[1][0]'}
{'map1_8_8_uc_measure[1][1]'}
{'map1_8_8_uc_measure[1][2]'}
{'map1_8_8_uc_measure[1][3]'}
{'map1_8_8_uc_measure[1][4]'}
{'map1_8_8_uc_measure[1][5]'}
{'map1_8_8_uc_measure[1][6]'}
{'map1_8_8_uc_measure[1][7]'}
{'map1_8_8_uc_measure[2][0]'}
{'map1_8_8_uc_measure[2][1]'}
{'map1_8_8_uc_measure[2][2]'}
{'map1_8_8_uc_measure[2][3]'}
{'map1_8_8_uc_measure[2][4]'}
{'map1_8_8_uc_measure[2][5]'}
{'map1_8_8_uc_measure[2][6]'}
{'map1_8_8_uc_measure[2][7]'}
{'map1_8_8_uc_measure[3][0]'}
{'map1_8_8_uc_measure[3][1]'}
{'map1_8_8_uc_measure[3][2]'}
{'map1_8_8_uc_measure[3][3]'}
{'map1_8_8_uc_measure[3][4]'}
{'map1_8_8_uc_measure[3][5]'}
{'map1_8_8_uc_measure[3][6]'}
{'map1_8_8_uc_measure[3][7]'}
{'map1_8_8_uc_measure[4][0]'}
{'map1_8_8_uc_measure[4][1]'}
{'map1_8_8_uc_measure[4][2]'}
{'map1_8_8_uc_measure[4][3]'}
{'map1_8_8_uc_measure[4][4]'}
{'map1_8_8_uc_measure[4][5]'}
{'map1_8_8_uc_measure[4][6]'}
{'map1_8_8_uc_measure[4][7]'}
{'map1_8_8_uc_measure[5][0]'}
{'map1_8_8_uc_measure[5][1]'}
{'map1_8_8_uc_measure[5][2]'}
{'map1_8_8_uc_measure[5][3]'}
{'map1_8_8_uc_measure[5][4]'}
{'map1_8_8_uc_measure[5][5]'}
{'map1_8_8_uc_measure[5][6]'}
{'map1_8_8_uc_measure[5][7]'}
{'map1_8_8_uc_measure[6][0]'}
{'map1_8_8_uc_measure[6][1]'}
{'map1_8_8_uc_measure[6][2]'}
{'map1_8_8_uc_measure[6][3]'}
{'map1_8_8_uc_measure[6][4]'}
{'map1_8_8_uc_measure[6][5]'}
{'map1_8_8_uc_measure[6][6]'}
{'map1_8_8_uc_measure[6][7]'}
{'map1_8_8_uc_measure[7][0]'}
{'map1_8_8_uc_measure[7][1]'}
{'map1_8_8_uc_measure[7][2]'}
{'map1_8_8_uc_measure[7][3]'}
{'map1_8_8_uc_measure[7][4]'}
{'map1_8_8_uc_measure[7][5]'}
{'map1_8_8_uc_measure[7][6]'}
{'map1_8_8_uc_measure[7][7]'}
{'map1_8_8_uc_measure' }
{'t' }
Чтобы считать только подмножество данных индексом, спектр индекса предоставлен, как введено к read команда.
data = read(m, 1, m.ChannelNames{1}, 1, 10)
data =
10×74 timetable
Time Counter_B4 Counter_B5 Counter_B6 Counter_B7 PWM PWM_Level PWMFiltered Triangle map1_8_8_uc_measure_0__0_ map1_8_8_uc_measure_0__1_ map1_8_8_uc_measure_0__2_ map1_8_8_uc_measure_0__3_ map1_8_8_uc_measure_0__4_ map1_8_8_uc_measure_0__5_ map1_8_8_uc_measure_0__6_ map1_8_8_uc_measure_0__7_ map1_8_8_uc_measure_1__0_ map1_8_8_uc_measure_1__1_ map1_8_8_uc_measure_1__2_ map1_8_8_uc_measure_1__3_ map1_8_8_uc_measure_1__4_ map1_8_8_uc_measure_1__5_ map1_8_8_uc_measure_1__6_ map1_8_8_uc_measure_1__7_ map1_8_8_uc_measure_2__0_ map1_8_8_uc_measure_2__1_ map1_8_8_uc_measure_2__2_ map1_8_8_uc_measure_2__3_ map1_8_8_uc_measure_2__4_ map1_8_8_uc_measure_2__5_ map1_8_8_uc_measure_2__6_ map1_8_8_uc_measure_2__7_ map1_8_8_uc_measure_3__0_ map1_8_8_uc_measure_3__1_ map1_8_8_uc_measure_3__2_ map1_8_8_uc_measure_3__3_ map1_8_8_uc_measure_3__4_ map1_8_8_uc_measure_3__5_ map1_8_8_uc_measure_3__6_ map1_8_8_uc_measure_3__7_ map1_8_8_uc_measure_4__0_ map1_8_8_uc_measure_4__1_ map1_8_8_uc_measure_4__2_ map1_8_8_uc_measure_4__3_ map1_8_8_uc_measure_4__4_ map1_8_8_uc_measure_4__5_ map1_8_8_uc_measure_4__6_ map1_8_8_uc_measure_4__7_ map1_8_8_uc_measure_5__0_ map1_8_8_uc_measure_5__1_ map1_8_8_uc_measure_5__2_ map1_8_8_uc_measure_5__3_ map1_8_8_uc_measure_5__4_ map1_8_8_uc_measure_5__5_ map1_8_8_uc_measure_5__6_ map1_8_8_uc_measure_5__7_ map1_8_8_uc_measure_6__0_ map1_8_8_uc_measure_6__1_ map1_8_8_uc_measure_6__2_ map1_8_8_uc_measure_6__3_ map1_8_8_uc_measure_6__4_ map1_8_8_uc_measure_6__5_ map1_8_8_uc_measure_6__6_ map1_8_8_uc_measure_6__7_ map1_8_8_uc_measure_7__0_ map1_8_8_uc_measure_7__1_ map1_8_8_uc_measure_7__2_ map1_8_8_uc_measure_7__3_ map1_8_8_uc_measure_7__4_ map1_8_8_uc_measure_7__5_ map1_8_8_uc_measure_7__6_ map1_8_8_uc_measure_7__7_ map1_8_8_uc_measure t
______________ __________ __________ __________ __________ ___ _________ ___________ ________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ ___________________ __________
0.00082554 sec 0 0 1 0 100 0 99 18 175 167 149 127 108 98 103 121 168 162 147 127 110 102 105 120 158 155 143 126 110 99 98 109 149 151 142 127 109 94 86 90 144 149 143 128 109 90 75 73 141 149 145 131 112 90 71 64 138 148 146 134 116 95 77 69 134 146 145 136 122 105 92 88 175 0.00082554
0.010826 sec 0 0 1 0 100 0 99 17 175 167 150 127 108 99 104 121 168 162 147 128 111 102 105 120 158 156 144 127 110 99 98 109 150 151 142 127 109 94 86 90 144 150 143 129 110 90 75 72 141 149 145 132 112 90 71 64 138 148 146 135 116 95 77 69 134 146 146 137 122 106 92 88 175 0.010826
0.020826 sec 0 0 1 0 100 0 99 16 175 167 150 128 108 99 104 121 168 163 148 128 111 102 106 120 158 156 144 127 110 99 98 108 150 152 143 127 109 94 86 90 145 150 144 129 110 90 75 72 141 150 145 132 112 90 71 64 138 149 146 135 117 96 77 70 134 146 146 137 122 106 92 88 175 0.020826
0.030826 sec 0 0 1 0 100 0 99 15 176 168 150 128 109 99 104 121 169 163 148 129 112 103 106 120 159 156 145 128 111 99 98 108 150 152 143 128 110 94 86 90 145 150 144 130 110 90 75 72 142 150 146 133 113 90 72 64 139 149 147 135 117 96 78 70 135 147 146 137 123 106 93 89 176 0.030826
0.040826 sec 0 0 1 0 100 0 99 14 176 168 151 129 109 100 104 121 169 163 148 129 112 103 106 120 159 157 145 128 111 100 98 108 151 152 144 128 110 94 86 90 145 151 145 130 111 90 75 72 142 150 146 133 113 90 72 64 139 150 147 135 117 96 78 70 135 147 146 137 123 106 93 89 176 0.040826
0.050826 sec 0 0 1 0 100 0 99 13 176 168 151 129 110 100 104 121 169 163 149 130 112 103 106 120 159 157 146 129 112 100 98 108 151 153 144 129 111 95 86 90 146 151 145 131 111 91 76 72 143 151 147 133 113 91 72 64 140 150 147 136 118 96 78 70 135 147 147 138 123 107 93 89 176 0.050826
0.060826 sec 0 0 1 0 100 0 99 12 176 169 152 130 110 101 105 121 169 164 149 130 113 103 106 120 160 158 146 129 112 100 98 108 151 153 145 129 111 95 86 89 146 152 145 131 111 91 76 72 143 151 147 134 114 91 72 64 140 150 148 136 118 97 78 71 136 148 147 138 123 107 94 90 176 0.060826
0.070826 sec 0 0 1 0 100 0 99 11 176 169 152 130 111 101 105 121 169 164 150 131 113 104 106 120 160 158 146 130 112 100 98 108 152 154 145 130 111 95 86 89 147 152 146 131 112 91 76 72 143 152 147 134 114 91 72 64 140 151 148 136 118 97 79 71 136 148 147 138 124 107 94 90 176 0.070826
0.080826 sec 0 0 1 0 100 0 99 10 177 169 152 131 111 101 105 121 170 164 150 131 114 104 106 120 160 158 147 130 113 101 98 108 152 154 146 130 112 95 86 89 147 153 146 132 112 91 76 72 144 152 148 134 114 91 72 64 141 151 148 137 118 97 79 71 137 148 148 139 124 108 94 90 177 0.080826
0.090826 sec 0 0 1 0 100 0 99 9 177 169 153 131 112 102 105 121 170 165 151 132 114 104 106 120 161 159 147 131 113 101 99 108 152 155 146 131 112 95 86 89 147 153 147 132 112 91 76 72 144 152 148 135 114 92 72 64 141 151 149 137 119 97 79 71 137 149 148 139 124 108 94 91 177 0.090826
Обеспечение одного числового аргумента индекса получит значения данных в том индексе.
data = read(m, 1, m.ChannelNames{1}, 5)
data =
1×74 timetable
Time Counter_B4 Counter_B5 Counter_B6 Counter_B7 PWM PWM_Level PWMFiltered Triangle map1_8_8_uc_measure_0__0_ map1_8_8_uc_measure_0__1_ map1_8_8_uc_measure_0__2_ map1_8_8_uc_measure_0__3_ map1_8_8_uc_measure_0__4_ map1_8_8_uc_measure_0__5_ map1_8_8_uc_measure_0__6_ map1_8_8_uc_measure_0__7_ map1_8_8_uc_measure_1__0_ map1_8_8_uc_measure_1__1_ map1_8_8_uc_measure_1__2_ map1_8_8_uc_measure_1__3_ map1_8_8_uc_measure_1__4_ map1_8_8_uc_measure_1__5_ map1_8_8_uc_measure_1__6_ map1_8_8_uc_measure_1__7_ map1_8_8_uc_measure_2__0_ map1_8_8_uc_measure_2__1_ map1_8_8_uc_measure_2__2_ map1_8_8_uc_measure_2__3_ map1_8_8_uc_measure_2__4_ map1_8_8_uc_measure_2__5_ map1_8_8_uc_measure_2__6_ map1_8_8_uc_measure_2__7_ map1_8_8_uc_measure_3__0_ map1_8_8_uc_measure_3__1_ map1_8_8_uc_measure_3__2_ map1_8_8_uc_measure_3__3_ map1_8_8_uc_measure_3__4_ map1_8_8_uc_measure_3__5_ map1_8_8_uc_measure_3__6_ map1_8_8_uc_measure_3__7_ map1_8_8_uc_measure_4__0_ map1_8_8_uc_measure_4__1_ map1_8_8_uc_measure_4__2_ map1_8_8_uc_measure_4__3_ map1_8_8_uc_measure_4__4_ map1_8_8_uc_measure_4__5_ map1_8_8_uc_measure_4__6_ map1_8_8_uc_measure_4__7_ map1_8_8_uc_measure_5__0_ map1_8_8_uc_measure_5__1_ map1_8_8_uc_measure_5__2_ map1_8_8_uc_measure_5__3_ map1_8_8_uc_measure_5__4_ map1_8_8_uc_measure_5__5_ map1_8_8_uc_measure_5__6_ map1_8_8_uc_measure_5__7_ map1_8_8_uc_measure_6__0_ map1_8_8_uc_measure_6__1_ map1_8_8_uc_measure_6__2_ map1_8_8_uc_measure_6__3_ map1_8_8_uc_measure_6__4_ map1_8_8_uc_measure_6__5_ map1_8_8_uc_measure_6__6_ map1_8_8_uc_measure_6__7_ map1_8_8_uc_measure_7__0_ map1_8_8_uc_measure_7__1_ map1_8_8_uc_measure_7__2_ map1_8_8_uc_measure_7__3_ map1_8_8_uc_measure_7__4_ map1_8_8_uc_measure_7__5_ map1_8_8_uc_measure_7__6_ map1_8_8_uc_measure_7__7_ map1_8_8_uc_measure t
____________ __________ __________ __________ __________ ___ _________ ___________ ________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ ___________________ ________
0.040826 sec 0 0 1 0 100 0 99 14 176 168 151 129 109 100 104 121 169 163 148 129 112 103 106 120 159 157 145 128 111 100 98 108 151 152 144 128 110 94 86 90 145 151 145 130 111 90 75 72 142 150 146 133 113 90 72 64 139 150 147 135 117 96 78 70 135 147 146 137 123 106 93 89 176 0.040826
Чтобы считать подмножество данных ко времени, аргументы длительности предоставляются, как введено read команда.
data = read(m, 1, m.ChannelNames{1}, seconds(0.50), seconds(0.60))
data =
10×74 timetable
Time Counter_B4 Counter_B5 Counter_B6 Counter_B7 PWM PWM_Level PWMFiltered Triangle map1_8_8_uc_measure_0__0_ map1_8_8_uc_measure_0__1_ map1_8_8_uc_measure_0__2_ map1_8_8_uc_measure_0__3_ map1_8_8_uc_measure_0__4_ map1_8_8_uc_measure_0__5_ map1_8_8_uc_measure_0__6_ map1_8_8_uc_measure_0__7_ map1_8_8_uc_measure_1__0_ map1_8_8_uc_measure_1__1_ map1_8_8_uc_measure_1__2_ map1_8_8_uc_measure_1__3_ map1_8_8_uc_measure_1__4_ map1_8_8_uc_measure_1__5_ map1_8_8_uc_measure_1__6_ map1_8_8_uc_measure_1__7_ map1_8_8_uc_measure_2__0_ map1_8_8_uc_measure_2__1_ map1_8_8_uc_measure_2__2_ map1_8_8_uc_measure_2__3_ map1_8_8_uc_measure_2__4_ map1_8_8_uc_measure_2__5_ map1_8_8_uc_measure_2__6_ map1_8_8_uc_measure_2__7_ map1_8_8_uc_measure_3__0_ map1_8_8_uc_measure_3__1_ map1_8_8_uc_measure_3__2_ map1_8_8_uc_measure_3__3_ map1_8_8_uc_measure_3__4_ map1_8_8_uc_measure_3__5_ map1_8_8_uc_measure_3__6_ map1_8_8_uc_measure_3__7_ map1_8_8_uc_measure_4__0_ map1_8_8_uc_measure_4__1_ map1_8_8_uc_measure_4__2_ map1_8_8_uc_measure_4__3_ map1_8_8_uc_measure_4__4_ map1_8_8_uc_measure_4__5_ map1_8_8_uc_measure_4__6_ map1_8_8_uc_measure_4__7_ map1_8_8_uc_measure_5__0_ map1_8_8_uc_measure_5__1_ map1_8_8_uc_measure_5__2_ map1_8_8_uc_measure_5__3_ map1_8_8_uc_measure_5__4_ map1_8_8_uc_measure_5__5_ map1_8_8_uc_measure_5__6_ map1_8_8_uc_measure_5__7_ map1_8_8_uc_measure_6__0_ map1_8_8_uc_measure_6__1_ map1_8_8_uc_measure_6__2_ map1_8_8_uc_measure_6__3_ map1_8_8_uc_measure_6__4_ map1_8_8_uc_measure_6__5_ map1_8_8_uc_measure_6__6_ map1_8_8_uc_measure_6__7_ map1_8_8_uc_measure_7__0_ map1_8_8_uc_measure_7__1_ map1_8_8_uc_measure_7__2_ map1_8_8_uc_measure_7__3_ map1_8_8_uc_measure_7__4_ map1_8_8_uc_measure_7__5_ map1_8_8_uc_measure_7__6_ map1_8_8_uc_measure_7__7_ map1_8_8_uc_measure t
___________ __________ __________ __________ __________ ___ _________ ___________ ________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ ___________________ _______
0.50083 sec 1 1 1 0 0 0 0 -32 182 178 166 147 128 115 113 123 176 175 164 148 130 116 111 118 169 171 162 147 128 111 101 103 164 168 161 146 126 104 88 84 161 167 162 147 125 100 79 71 159 167 162 149 127 102 80 69 156 165 162 150 131 109 90 82 151 161 160 150 136 119 106 104 182 0.50083
0.51083 sec 1 1 1 0 0 0 0 -33 182 178 166 148 129 115 113 123 176 175 164 148 130 116 111 118 170 171 162 147 128 111 101 103 165 169 162 147 126 104 88 84 162 168 162 148 126 101 80 71 160 167 163 149 127 102 80 70 157 165 162 150 131 109 90 83 152 162 160 150 136 119 107 104 182 0.51083
0.52083 sec 1 1 1 0 0 0 0 -34 182 178 166 148 129 116 113 123 176 175 165 149 130 116 111 118 170 171 163 148 129 111 101 103 165 169 162 147 126 105 88 84 162 168 163 148 126 101 80 71 160 167 163 149 128 102 80 70 157 165 162 150 131 109 90 83 152 162 160 151 136 120 107 104 182 0.52083
0.53083 sec 1 1 1 0 0 0 0 -35 182 178 166 148 129 116 113 123 176 175 165 149 131 116 111 118 170 171 163 148 129 111 101 103 165 169 162 148 127 105 88 84 162 168 163 148 126 101 80 71 160 168 163 149 128 103 80 70 157 166 162 150 132 110 91 83 152 162 160 151 136 120 107 104 182 0.53083
0.54083 sec 1 1 1 0 0 0 0 -36 182 178 167 149 130 116 113 123 176 175 165 149 131 117 111 118 170 171 163 148 129 111 101 103 165 169 163 148 127 105 88 84 163 169 163 149 127 101 80 71 161 168 163 150 128 103 80 70 158 166 163 151 132 110 91 83 153 162 161 151 137 120 108 105 182 0.54083
0.55083 sec 1 1 1 0 0 0 0 -37 182 178 167 149 130 116 113 123 176 175 165 150 131 117 111 118 170 172 164 148 129 112 101 103 165 170 163 148 127 105 88 84 163 169 163 149 127 102 80 71 161 168 164 150 129 103 81 70 158 166 163 151 132 110 91 84 153 163 161 152 137 120 108 105 182 0.55083
0.56083 sec 1 1 1 0 0 0 0 -38 182 179 167 149 130 117 114 123 177 175 166 150 132 117 112 118 170 172 164 149 130 112 101 103 166 170 163 148 128 105 88 84 163 169 164 149 127 102 80 71 161 169 164 150 129 103 81 71 158 167 163 151 132 110 92 84 153 163 161 152 137 121 108 105 182 0.56083
0.57083 sec 1 1 1 0 0 0 0 -39 182 179 167 150 131 117 114 123 177 176 166 150 132 117 112 118 170 172 164 149 130 112 101 102 166 170 164 149 128 106 89 84 163 169 164 149 127 102 80 71 162 169 164 151 129 104 81 71 159 167 164 152 133 111 92 84 154 163 161 152 137 121 108 106 182 0.57083
0.58083 sec 1 1 1 0 0 0 0 -40 182 179 167 150 131 117 114 123 177 176 166 150 132 118 112 118 171 172 164 149 130 112 101 102 166 170 164 149 128 106 89 84 164 170 164 150 128 102 80 71 162 169 165 151 129 104 81 71 159 167 164 152 133 111 92 85 154 164 162 152 138 121 109 106 182 0.58083
0.59083 sec 1 1 1 0 0 0 0 -41 182 179 168 150 131 117 114 123 177 176 166 151 133 118 112 118 171 172 165 150 131 112 101 102 166 171 164 149 128 106 89 84 164 170 165 150 128 103 81 71 162 169 165 151 130 104 82 71 159 167 164 152 133 111 92 85 154 164 162 153 138 121 109 106 182 0.59083
Обеспечение одной длительности получит значения данных в или самый близкий к той метке времени.
data = read(m, 1, m.ChannelNames{1}, seconds(0.55))
data =
1×74 timetable
Time Counter_B4 Counter_B5 Counter_B6 Counter_B7 PWM PWM_Level PWMFiltered Triangle map1_8_8_uc_measure_0__0_ map1_8_8_uc_measure_0__1_ map1_8_8_uc_measure_0__2_ map1_8_8_uc_measure_0__3_ map1_8_8_uc_measure_0__4_ map1_8_8_uc_measure_0__5_ map1_8_8_uc_measure_0__6_ map1_8_8_uc_measure_0__7_ map1_8_8_uc_measure_1__0_ map1_8_8_uc_measure_1__1_ map1_8_8_uc_measure_1__2_ map1_8_8_uc_measure_1__3_ map1_8_8_uc_measure_1__4_ map1_8_8_uc_measure_1__5_ map1_8_8_uc_measure_1__6_ map1_8_8_uc_measure_1__7_ map1_8_8_uc_measure_2__0_ map1_8_8_uc_measure_2__1_ map1_8_8_uc_measure_2__2_ map1_8_8_uc_measure_2__3_ map1_8_8_uc_measure_2__4_ map1_8_8_uc_measure_2__5_ map1_8_8_uc_measure_2__6_ map1_8_8_uc_measure_2__7_ map1_8_8_uc_measure_3__0_ map1_8_8_uc_measure_3__1_ map1_8_8_uc_measure_3__2_ map1_8_8_uc_measure_3__3_ map1_8_8_uc_measure_3__4_ map1_8_8_uc_measure_3__5_ map1_8_8_uc_measure_3__6_ map1_8_8_uc_measure_3__7_ map1_8_8_uc_measure_4__0_ map1_8_8_uc_measure_4__1_ map1_8_8_uc_measure_4__2_ map1_8_8_uc_measure_4__3_ map1_8_8_uc_measure_4__4_ map1_8_8_uc_measure_4__5_ map1_8_8_uc_measure_4__6_ map1_8_8_uc_measure_4__7_ map1_8_8_uc_measure_5__0_ map1_8_8_uc_measure_5__1_ map1_8_8_uc_measure_5__2_ map1_8_8_uc_measure_5__3_ map1_8_8_uc_measure_5__4_ map1_8_8_uc_measure_5__5_ map1_8_8_uc_measure_5__6_ map1_8_8_uc_measure_5__7_ map1_8_8_uc_measure_6__0_ map1_8_8_uc_measure_6__1_ map1_8_8_uc_measure_6__2_ map1_8_8_uc_measure_6__3_ map1_8_8_uc_measure_6__4_ map1_8_8_uc_measure_6__5_ map1_8_8_uc_measure_6__6_ map1_8_8_uc_measure_6__7_ map1_8_8_uc_measure_7__0_ map1_8_8_uc_measure_7__1_ map1_8_8_uc_measure_7__2_ map1_8_8_uc_measure_7__3_ map1_8_8_uc_measure_7__4_ map1_8_8_uc_measure_7__5_ map1_8_8_uc_measure_7__6_ map1_8_8_uc_measure_7__7_ map1_8_8_uc_measure t
___________ __________ __________ __________ __________ ___ _________ ___________ ________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ _________________________ ___________________ _______
0.55083 sec 1 1 1 0 0 0 0 -37 182 178 167 149 130 116 113 123 176 175 165 150 131 117 111 118 170 172 164 148 129 112 101 103 165 170 163 148 127 105 88 84 163 169 163 149 127 102 80 71 161 168 164 150 129 103 81 70 158 166 163 151 132 110 91 84 153 163 161 152 137 120 108 105 182 0.55083
Выходной формат по умолчанию read команда является расписанием. Этой опцией можно также управлять с OutputFormat аргумент.
data = read(m, 1, 'Triangle', 1, 10, 'OutputFormat', 'timetable')
data =
10×1 timetable
Time Triangle
______________ ________
0.00082554 sec 18
0.010826 sec 17
0.020826 sec 16
0.030826 sec 15
0.040826 sec 14
0.050826 sec 13
0.060826 sec 12
0.070826 sec 11
0.080826 sec 10
0.090826 sec 9
Если timeseries желаем, как выведено, OutputFormat может быть задан к read команда. При выводе данных как timeseries, только один канал может быть считан за один раз.
data = read(m, 1, 'Triangle', 1, 10, 'OutputFormat', 'timeseries')
timeseries
Common Properties:
Name: 'Triangle'
Time: [10x1 double]
TimeInfo: tsdata.timemetadata
Data: [10x1 double]
DataInfo: tsdata.datametadata
Выведите от read команда может также быть задана как векторы. При выводе данных как вектора только один канал может быть считан за один раз.
[data, time] = read(m, 1, 'Triangle', 1, 10, 'OutputFormat', 'vector')
data =
18
17
16
15
14
13
12
11
10
9
time =
0.0008
0.0108
0.0208
0.0308
0.0408
0.0508
0.0608
0.0708
0.0808
0.0908
Чтобы быстро считать данные из целой группы канала в одном вызове, никакие дополнительные аргументы не заданы к read команда.
data = read(m, 1, m.ChannelNames{1});