Skip to content
Permalink
master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

ME3255-Extra_Credit/README.md

Go to file
 
 
Cannot retrieve contributors at this time
636 lines (493 sloc) 15.9 KB
Raw Blame
Open in GitHub Desktop
# ME3255-Extra_Credit
# Electricity Usage
Task 1✘
>> load(electricity.mat)
Undefined variable "electricity" or class "electricity.mat".
Task 1✘
>> load(electricity load)
Error: Unexpected MATLAB expression.
Task 1✘
>> load(electricity)
Undefined function or variable 'electricity'.
Task 1✔
>> load electricity
Task 2✔
>> usage
usage =
3.0484 2.5848 2.6408
2.8610 2.5530 NaN
3.2602 2.7084 2.7345
3.3420 2.8097 2.8019
3.3555 2.9167 2.7960
3.4234 2.9299 2.8579
3.5268 3.1561 2.8597
3.9185 3.3057 2.8757
3.9718 3.4761 2.9984
3.8540 3.4748 2.8998
3.8934 3.5968 2.6826
4.3127 3.7088 2.8427
4.2153 3.7172 2.8301
4.1711 3.7257 2.8542
4.6605 3.9367 2.8512
4.7528 4.0497 2.8671
4.4847 3.9975 2.8715
4.6216 4.1299 2.8487
4.4413 3.9229 2.5176
4.9899 4.1266 2.7653
4.9913 4.1311 2.8143
4.9864 4.1463 2.8135
4.6270 4.1205 2.7001
Task 3✘
>> A(i,j) = 2.74
Subscript indices must either be real positive integers or logicals.
Task 3✔
>> usage(2,3) = 2.74
usage =
3.0484 2.5848 2.6408
2.8610 2.5530 2.7400
3.2602 2.7084 2.7345
3.3420 2.8097 2.8019
3.3555 2.9167 2.7960
3.4234 2.9299 2.8579
3.5268 3.1561 2.8597
3.9185 3.3057 2.8757
3.9718 3.4761 2.9984
3.8540 3.4748 2.8998
3.8934 3.5968 2.6826
4.3127 3.7088 2.8427
4.2153 3.7172 2.8301
4.1711 3.7257 2.8542
4.6605 3.9367 2.8512
4.7528 4.0497 2.8671
4.4847 3.9975 2.8715
4.6216 4.1299 2.8487
4.4413 3.9229 2.5176
4.9899 4.1266 2.7653
4.9913 4.1311 2.8143
4.9864 4.1463 2.8135
4.6270 4.1205 2.7001
Task 4✔
>> res=usage(:,1)
res =
3.0484
2.8610
3.2602
3.3420
3.3555
3.4234
3.5268
3.9185
3.9718
3.8540
3.8934
4.3127
4.2153
4.1711
4.6605
4.7528
4.4847
4.6216
4.4413
4.9899
4.9913
4.9864
4.6270
Task 5✔
>> comm=usage(:,2)
comm =
2.5848
2.5530
2.7084
2.8097
2.9167
2.9299
3.1561
3.3057
3.4761
3.4748
3.5968
3.7088
3.7172
3.7257
3.9367
4.0497
3.9975
4.1299
3.9229
4.1266
4.1311
4.1463
4.1205
Task 6✔
>> ind=usage(:,3)
ind =
2.6408
2.7400
2.7345
2.8019
2.7960
2.8579
2.8597
2.8757
2.9984
2.8998
2.6826
2.8427
2.8301
2.8542
2.8512
2.8671
2.8715
2.8487
2.5176
2.7653
2.8143
2.8135
2.7001
Task 7✔
>> yrs = (1991:2013)'
yrs =
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Task 8✔
>> plot(yrs,res,'b--')
Task 9✔
>> hold on
Task 10✔
>> plot(yrs,comm,'k:')
Task 11✘
>> plot(yrs,ind,'m-')
Task 11✔
>> plot(yrs,ind,'m-.')
Task 12✔
>> title('July Electricity Usage')
Task 13✔
>> legend('res','comm','ind')
>> load(electricity.mat)
Undefined variable "electricity" or class "electricity.mat".
Task 1✘
>> load(electricity load)
Error: Unexpected MATLAB expression.
Task 1✘
>> load(electricity)
Undefined function or variable 'electricity'.
Task 1✔
>> load electricity
Task 2✔
>> usage
usage =
3.0484 2.5848 2.6408
2.8610 2.5530 NaN
3.2602 2.7084 2.7345
3.3420 2.8097 2.8019
3.3555 2.9167 2.7960
3.4234 2.9299 2.8579
3.5268 3.1561 2.8597
3.9185 3.3057 2.8757
3.9718 3.4761 2.9984
3.8540 3.4748 2.8998
3.8934 3.5968 2.6826
4.3127 3.7088 2.8427
4.2153 3.7172 2.8301
4.1711 3.7257 2.8542
4.6605 3.9367 2.8512
4.7528 4.0497 2.8671
4.4847 3.9975 2.8715
4.6216 4.1299 2.8487
4.4413 3.9229 2.5176
4.9899 4.1266 2.7653
4.9913 4.1311 2.8143
4.9864 4.1463 2.8135
4.6270 4.1205 2.7001
Task 3✘
>> A(i,j) = 2.74
Subscript indices must either be real positive integers or logicals.
Task 3✔
>> usage(2,3) = 2.74
usage =
3.0484 2.5848 2.6408
2.8610 2.5530 2.7400
3.2602 2.7084 2.7345
3.3420 2.8097 2.8019
3.3555 2.9167 2.7960
3.4234 2.9299 2.8579
3.5268 3.1561 2.8597
3.9185 3.3057 2.8757
3.9718 3.4761 2.9984
3.8540 3.4748 2.8998
3.8934 3.5968 2.6826
4.3127 3.7088 2.8427
4.2153 3.7172 2.8301
4.1711 3.7257 2.8542
4.6605 3.9367 2.8512
4.7528 4.0497 2.8671
4.4847 3.9975 2.8715
4.6216 4.1299 2.8487
4.4413 3.9229 2.5176
4.9899 4.1266 2.7653
4.9913 4.1311 2.8143
4.9864 4.1463 2.8135
4.6270 4.1205 2.7001
Task 4✔
>> res=usage(:,1)
res =
3.0484
2.8610
3.2602
3.3420
3.3555
3.4234
3.5268
3.9185
3.9718
3.8540
3.8934
4.3127
4.2153
4.1711
4.6605
4.7528
4.4847
4.6216
4.4413
4.9899
4.9913
4.9864
4.6270
Task 5✔
>> comm=usage(:,2)
comm =
2.5848
2.5530
2.7084
2.8097
2.9167
2.9299
3.1561
3.3057
3.4761
3.4748
3.5968
3.7088
3.7172
3.7257
3.9367
4.0497
3.9975
4.1299
3.9229
4.1266
4.1311
4.1463
4.1205
Task 6✔
>> ind=usage(:,3)
ind =
2.6408
2.7400
2.7345
2.8019
2.7960
2.8579
2.8597
2.8757
2.9984
2.8998
2.6826
2.8427
2.8301
2.8542
2.8512
2.8671
2.8715
2.8487
2.5176
2.7653
2.8143
2.8135
2.7001
Task 7✔
>> yrs = (1991:2013)'
yrs =
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
Task 8✔
>> plot(yrs,res,'b--')
Task 9✔
>> hold on
Task 10✔
>> plot(yrs,comm,'k:')
Task 11✘
>> plot(yrs,ind,'m-')
Task 11✔
>> plot(yrs,ind,'m-.')
Task 12✔
>> title('July Electricity Usage')
Task 13✔
>> legend('res','comm','ind')
>>
#Audio Frequency
Task 1✔
>> fs = 10;
Task 2✘
>> t = 5:1/fs:15;
Task 2✔
>> t = 0:1/fs:20;
Task 3✘
>> y = sin(1.8*2*pi*t) + sin(2*pi*x)
Undefined function or variable 'x'.
Task 3✘
>> y = sin(1.8*2*pi*t) + sin(2*pi*t)
y =
Columns 1 through 18
0 1.4926 1.7216 0.7024 -0.3945 -0.5878 -0.1060 0.0470 -0.5829 -1.2723 -0.9511 0.4625 1.7954 1.7954 0.4625 -0.9511 -1.2723 -0.5829
Columns 19 through 36
0.0470 -0.1060 -0.5878 -0.3945 0.7024 1.7216 1.4926 0.0000 -1.4926 -1.7216 -0.7024 0.3945 0.5878 0.1060 -0.0470 0.5829 1.2723 0.9511
Columns 37 through 54
-0.4625 -1.7954 -1.7954 -0.4625 0.9511 1.2723 0.5829 -0.0470 0.1060 0.5878 0.3945 -0.7024 -1.7216 -1.4926 -0.0000 1.4926 1.7216 0.7024
Columns 55 through 72
-0.3945 -0.5878 -0.1060 0.0470 -0.5829 -1.2723 -0.9511 0.4625 1.7954 1.7954 0.4625 -0.9511 -1.2723 -0.5829 0.0470 -0.1060 -0.5878 -0.3945
Columns 73 through 90
0.7024 1.7216 1.4926 0.0000 -1.4926 -1.7216 -0.7024 0.3945 0.5878 0.1060 -0.0470 0.5829 1.2723 0.9511 -0.4625 -1.7954 -1.7954 -0.4625
Columns 91 through 108
0.9511 1.2723 0.5829 -0.0470 0.1060 0.5878 0.3945 -0.7024 -1.7216 -1.4926 -0.0000 1.4926 1.7216 0.7024 -0.3945 -0.5878 -0.1060 0.0470
Columns 109 through 126
-0.5829 -1.2723 -0.9511 0.4625 1.7954 1.7954 0.4625 -0.9511 -1.2723 -0.5829 0.0470 -0.1060 -0.5878 -0.3945 0.7024 1.7216 1.4926 0.0000
Columns 127 through 144
-1.4926 -1.7216 -0.7024 0.3945 0.5878 0.1060 -0.0470 0.5829 1.2723 0.9511 -0.4625 -1.7954 -1.7954 -0.4625 0.9511 1.2723 0.5829 -0.0470
Columns 145 through 162
0.1060 0.5878 0.3945 -0.7024 -1.7216 -1.4926 -0.0000 1.4926 1.7216 0.7024 -0.3945 -0.5878 -0.1060 0.0470 -0.5829 -1.2723 -0.9511 0.4625
Columns 163 through 180
1.7954 1.7954 0.4625 -0.9511 -1.2723 -0.5829 0.0470 -0.1060 -0.5878 -0.3945 0.7024 1.7216 1.4926 0.0000 -1.4926 -1.7216 -0.7024 0.3945
Columns 181 through 198
0.5878 0.1060 -0.0470 0.5829 1.2723 0.9511 -0.4625 -1.7954 -1.7954 -0.4625 0.9511 1.2723 0.5829 -0.0470 0.1060 0.5878 0.3945 -0.7024
Columns 199 through 201
-1.7216 -1.4926 -0.0000
Task 3✔
>> y = sin(1.8*2*pi*t) + sin(2.1*2*pi*t)
y =
Columns 1 through 18
0 1.8734 1.2523 -0.9777 -1.8266 -0.2788 1.4798 1.1854 -0.5367 -1.3220 -0.3633 0.8044 0.7190 -0.1478 -0.4935 -0.1420 0.0860 -0.0577
Columns 19 through 36
0.0157 0.4190 0.3633 -0.4465 -0.9332 -0.1058 1.1535 1.0000 -0.6561 -1.6468 -0.4359 1.5181 1.5388 -0.5445 -1.9803 -0.7939 1.4551 1.7601
Columns 37 through 54
-0.2428 -1.8364 -0.9697 1.0551 1.5388 0.0471 -1.2730 -0.8106 0.5163 0.8968 0.1380 -0.4803 -0.2888 0.0638 -0.0000 -0.0638 0.2888 0.4803
Columns 55 through 72
-0.1380 -0.8968 -0.5163 0.8106 1.2730 -0.0471 -1.5388 -1.0551 0.9697 1.8364 0.2428 -1.7601 -1.4551 0.7939 1.9803 0.5445 -1.5388 -1.5181
Columns 73 through 90
0.4359 1.6468 0.6561 -1.0000 -1.1535 0.1058 0.9332 0.4465 -0.3633 -0.4190 -0.0157 0.0577 -0.0860 0.1420 0.4935 0.1478 -0.7190 -0.8044
Columns 91 through 108
0.3633 1.3220 0.5367 -1.1854 -1.4798 0.2788 1.8266 0.9777 -1.2523 -1.8734 -0.0000 1.8734 1.2523 -0.9777 -1.8266 -0.2788 1.4798 1.1854
Columns 109 through 126
-0.5367 -1.3220 -0.3633 0.8044 0.7190 -0.1478 -0.4935 -0.1420 0.0860 -0.0577 0.0157 0.4190 0.3633 -0.4465 -0.9332 -0.1058 1.1535 1.0000
Columns 127 through 144
-0.6561 -1.6468 -0.4359 1.5181 1.5388 -0.5445 -1.9803 -0.7939 1.4551 1.7601 -0.2428 -1.8364 -0.9697 1.0551 1.5388 0.0471 -1.2730 -0.8106
Columns 145 through 162
0.5163 0.8968 0.1380 -0.4803 -0.2888 0.0638 -0.0000 -0.0638 0.2888 0.4803 -0.1380 -0.8968 -0.5163 0.8106 1.2730 -0.0471 -1.5388 -1.0551
Columns 163 through 180
0.9697 1.8364 0.2428 -1.7601 -1.4551 0.7939 1.9803 0.5445 -1.5388 -1.5181 0.4359 1.6468 0.6561 -1.0000 -1.1535 0.1058 0.9332 0.4465
Columns 181 through 198
-0.3633 -0.4190 -0.0157 0.0577 -0.0860 0.1420 0.4935 0.1478 -0.7190 -0.8044 0.3633 1.3220 0.5367 -1.1854 -1.4798 0.2788 1.8266 0.9777
Columns 199 through 201
-1.2523 -1.8734 -0.0000
Task 4✔
>> plot(t,y)
Task 5✔
>> yfft = fft(y)
yfft =
Columns 1 through 9
0.0000 + 0.0000i 0.0007 - 0.0448i 0.0028 - 0.0898i 0.0063 - 0.1351i 0.0113 - 0.1808i 0.0178 - 0.2273i 0.0258 - 0.2746i 0.0355 - 0.3230i 0.0468 - 0.3726i
Columns 10 through 18
0.0600 - 0.4237i 0.0751 - 0.4765i 0.0923 - 0.5314i 0.1117 - 0.5887i 0.1336 - 0.6487i 0.1583 - 0.7118i 0.1860 - 0.7786i 0.2170 - 0.8496i 0.2519 - 0.9255i
Columns 19 through 27
0.2911 - 1.0072i 0.3352 - 1.0955i 0.3852 - 1.1918i 0.4418 - 1.2975i 0.5065 - 1.4144i 0.5807 - 1.5451i 0.6665 - 1.6927i 0.7667 - 1.8613i 0.8851 - 2.0567i
Columns 28 through 36
1.0268 - 2.2869i 1.1995 - 2.5636i 1.4148 - 2.9047i 1.6914 - 3.3389i 2.0612 - 3.9159i 2.5857 - 4.7313i 3.3998 - 5.9964i 4.8791 - 8.3004i 8.6481 -14.1995i
Columns 37 through 45
52.1546 -82.6959i -9.7052 +14.8683i -3.0073 + 4.4535i -0.3326 + 0.4764i 2.2099 - 3.0617i 7.1986 - 9.6519i 54.8155 -71.1486i -17.3938 +21.8612i -8.7273 +10.6237i
Columns 46 through 54
-6.1917 + 7.3014i -4.9529 + 5.6589i -4.2083 + 4.6591i -3.7068 + 3.9772i -3.3442 + 3.4775i -3.0688 + 3.0929i -2.8520 + 2.7860i -2.6768 + 2.5342i -2.5321 + 2.3232i
Columns 55 through 63
-2.4105 + 2.1433i -2.3069 + 1.9875i -2.2176 + 1.8510i -2.1399 + 1.7301i -2.0717 + 1.6220i -2.0113 + 1.5247i -1.9576 + 1.4364i -1.9096 + 1.3557i -1.8663 + 1.2816i
Columns 64 through 72
-1.8273 + 1.2132i -1.7919 + 1.1498i -1.7597 + 1.0907i -1.7302 + 1.0353i -1.7033 + 0.9834i -1.6786 + 0.9345i -1.6559 + 0.8882i -1.6349 + 0.8443i -1.6156 + 0.8026i
Columns 73 through 81
-1.5978 + 0.7629i -1.5812 + 0.7248i -1.5659 + 0.6884i -1.5517 + 0.6534i -1.5386 + 0.6198i -1.5264 + 0.5873i -1.5151 + 0.5559i -1.5045 + 0.5255i -1.4948 + 0.4960i
Columns 82 through 90
-1.4858 + 0.4674i -1.4774 + 0.4395i -1.4696 + 0.4123i -1.4625 + 0.3858i -1.4559 + 0.3598i -1.4498 + 0.3343i -1.4443 + 0.3093i -1.4392 + 0.2848i -1.4346 + 0.2607i
Columns 91 through 99
-1.4304 + 0.2369i -1.4267 + 0.2134i -1.4233 + 0.1902i -1.4204 + 0.1673i -1.4178 + 0.1445i -1.4157 + 0.1220i -1.4139 + 0.0996i -1.4125 + 0.0773i -1.4114 + 0.0552i
Columns 100 through 108
-1.4107 + 0.0331i -1.4103 + 0.0110i -1.4103 - 0.0110i -1.4107 - 0.0331i -1.4114 - 0.0552i -1.4125 - 0.0773i -1.4139 - 0.0996i -1.4157 - 0.1220i -1.4178 - 0.1445i
Columns 109 through 117
-1.4204 - 0.1673i -1.4233 - 0.1902i -1.4267 - 0.2134i -1.4304 - 0.2369i -1.4346 - 0.2607i -1.4392 - 0.2848i -1.4443 - 0.3093i -1.4498 - 0.3343i -1.4559 - 0.3598i
Columns 118 through 126
-1.4625 - 0.3858i -1.4696 - 0.4123i -1.4774 - 0.4395i -1.4858 - 0.4674i -1.4948 - 0.4960i -1.5045 - 0.5255i -1.5151 - 0.5559i -1.5264 - 0.5873i -1.5386 - 0.6198i
Columns 127 through 135
-1.5517 - 0.6534i -1.5659 - 0.6884i -1.5812 - 0.7248i -1.5978 - 0.7629i -1.6156 - 0.8026i -1.6349 - 0.8443i -1.6559 - 0.8882i -1.6786 - 0.9345i -1.7033 - 0.9834i
Columns 136 through 144
-1.7302 - 1.0353i -1.7597 - 1.0907i -1.7919 - 1.1498i -1.8273 - 1.2132i -1.8663 - 1.2816i -1.9096 - 1.3557i -1.9576 - 1.4364i -2.0113 - 1.5247i -2.0717 - 1.6220i
Columns 145 through 153
-2.1399 - 1.7301i -2.2176 - 1.8510i -2.3069 - 1.9875i -2.4105 - 2.1433i -2.5321 - 2.3232i -2.6768 - 2.5342i -2.8520 - 2.7860i -3.0688 - 3.0929i -3.3442 - 3.4775i
Columns 154 through 162
-3.7068 - 3.9772i -4.2083 - 4.6591i -4.9529 - 5.6589i -6.1917 - 7.3014i -8.7273 -10.6237i -17.3938 -21.8612i 54.8155 +71.1486i 7.1986 + 9.6519i 2.2099 + 3.0617i
Columns 163 through 171
-0.3326 - 0.4764i -3.0073 - 4.4535i -9.7052 -14.8683i 52.1546 +82.6959i 8.6481 +14.1995i 4.8791 + 8.3004i 3.3998 + 5.9964i 2.5857 + 4.7313i 2.0612 + 3.9159i
Columns 172 through 180
1.6914 + 3.3389i 1.4148 + 2.9047i 1.1995 + 2.5636i 1.0268 + 2.2869i 0.8851 + 2.0567i 0.7667 + 1.8613i 0.6665 + 1.6927i 0.5807 + 1.5451i 0.5065 + 1.4144i
Columns 181 through 189
0.4418 + 1.2975i 0.3852 + 1.1918i 0.3352 + 1.0955i 0.2911 + 1.0072i 0.2519 + 0.9255i 0.2170 + 0.8496i 0.1860 + 0.7786i 0.1583 + 0.7118i 0.1336 + 0.6487i
Columns 190 through 198
0.1117 + 0.5887i 0.0923 + 0.5314i 0.0751 + 0.4765i 0.0600 + 0.4237i 0.0468 + 0.3726i 0.0355 + 0.3230i 0.0258 + 0.2746i 0.0178 + 0.2273i 0.0113 + 0.1808i
Columns 199 through 201
0.0063 + 0.1351i 0.0028 + 0.0898i 0.0007 + 0.0448i
Task 6✔
>> n = numel(y)
n =
201
Task 7✔
>> f = 0:fs/n:fs*(n-1)/n;
Task 8✔
>> plot(f,abs(yfft))