Question

In: Electrical Engineering

please Use Matlab to plot simulated results and to plot and conduct the mathematical analysis of...

please Use Matlab to plot simulated results and to plot and conduct the mathematical analysis of the data below:

note: I only need these things

1- simulate the RC filter in the frequency domain in order to obtain magnitude and phase response plots.

2-obtain the transient response plots of the capacitor voltage and the current as functions of time.

Channel 2 Data
Time Scale: 0.002 seconds/div
Voltage Scale: 2.0 volts/div
Waveform Data: 500 points

Time Voltage
---------------------
-0.01 2.68675
-0.00996 -2.62425
-0.00992 -2.74925
-0.00988 -2.62425
-0.00984 -2.62425
-0.0098 -2.68675
-0.00976 -2.62425
-0.00972 -2.68675
-0.00968 -2.62425
-0.00964 -2.74925
-0.0096 -2.62425
-0.009559999999999999 -2.74925
-0.009519999999999999 -2.68675
-0.009479999999999999 -2.68675
-0.009439999999999999 -2.68675
-0.009399999999999999 -2.68675
-0.009359999999999999 -2.62425
-0.009319999999999998 -2.68675
-0.009279999999999998 -2.68675
-0.009239999999999998 -2.62425
-0.009199999999999998 -2.68675
-0.009159999999999998 -2.68675
-0.009119999999999998 -2.62425
-0.009079999999999998 -2.68675
-0.009039999999999998 -2.68675
-0.008999999999999998 -2.62425
-0.008959999999999997 -2.62425
-0.008919999999999997 -2.62425
-0.008879999999999997 -2.68675
-0.008839999999999997 -2.68675
-0.008799999999999997 -2.62425
-0.008759999999999997 -2.68675
-0.008719999999999997 -2.62425
-0.008679999999999997 -2.68675
-0.008639999999999997 -2.62425
-0.008599999999999997 -2.68675
-0.008559999999999996 -2.62425
-0.008519999999999996 -2.62425
-0.008479999999999996 -2.62425
-0.008439999999999996 -2.68675
-0.008399999999999996 -2.62425
-0.008359999999999996 -2.62425
-0.008319999999999996 -2.62425
-0.008279999999999996 -2.56175
-0.008239999999999996 -2.62425
-0.008199999999999995 -2.56175
-0.008159999999999995 -2.62425
-0.008119999999999995 -2.62425
-0.008079999999999995 -2.62425
-0.008039999999999995 -2.56175
-0.007999999999999995 -2.62425
-0.007959999999999995 -2.62425
-0.007919999999999995 -2.62425
-0.007879999999999995 -2.62425
-0.007839999999999995 -2.49925
-0.0077999999999999944 -2.62425
-0.007759999999999994 -2.56175
-0.007719999999999994 -2.56175
-0.007679999999999994 -2.56175
-0.007639999999999994 -2.56175
-0.007599999999999994 -2.43675
-0.007559999999999994 -2.06175
-0.007519999999999994 -1.74925
-0.007479999999999994 -1.43675
-0.0074399999999999935 -1.12425
-0.007399999999999993 -0.93675
-0.007359999999999993 -0.68675
-0.007319999999999993 -0.43675
-0.007279999999999993 -0.24925
-0.007239999999999993 -0.12425
-0.007199999999999993 0.12575
-0.007159999999999993 0.43825
-0.007119999999999993 0.50075
-0.0070799999999999925 0.62575
-0.0070399999999999924 0.75075
-0.006999999999999992 0.87575
-0.006959999999999992 1.00075
-0.006919999999999992 1.06325
-0.006879999999999992 1.18825
-0.006839999999999992 1.25075
-0.006799999999999992 1.37575
-0.006759999999999992 1.43825
-0.006719999999999992 1.50075
-0.0066799999999999915 1.50075
-0.006639999999999991 1.62575
-0.006599999999999991 1.68825
-0.006559999999999991 1.81325
-0.006519999999999991 1.87575
-0.006479999999999991 1.87575
-0.006439999999999991 1.87575
-0.006399999999999991 1.93825
-0.006359999999999991 2.00075
-0.0063199999999999906 1.93825
-0.0062799999999999905 2.00075
-0.00623999999999999 2.00075
-0.00619999999999999 2.06325
-0.00615999999999999 2.12575
-0.00611999999999999 2.12575
-0.00607999999999999 2.00075
-0.00603999999999999 2.18825
-0.00599999999999999 2.12575
-0.00595999999999999 2.12575
-0.0059199999999999895 2.18825
-0.005879999999999989 2.25075
-0.005839999999999989 2.12575
-0.005799999999999989 2.18825
-0.005759999999999989 2.18825
-0.005719999999999989 2.18825
-0.005679999999999989 2.25075
-0.005639999999999989 2.25075
-0.005599999999999989 2.18825
-0.0055599999999999886 2.18825
-0.0055199999999999885 2.31325
-0.005479999999999988 2.25075
-0.005439999999999988 2.31325
-0.005399999999999988 2.25075
-0.005359999999999988 2.25075
-0.005319999999999988 2.25075
-0.005279999999999988 2.25075
-0.005239999999999988 2.25075
-0.005199999999999988 2.25075
-0.0051599999999999875 2.18825
-0.005119999999999987 2.25075
-0.005079999999999987 2.25075
-0.005039999999999987 2.25075
-0.004999999999999987 2.25075
-0.004959999999999987 2.25075
-0.004919999999999987 2.37575
-0.004879999999999987 2.25075
-0.004839999999999987 2.25075
-0.004799999999999987 2.18825
-0.0047599999999999865 2.25075
-0.004719999999999986 2.18825
-0.004679999999999986 2.25075
-0.004639999999999986 2.25075
-0.004599999999999986 2.31325
-0.004559999999999986 2.25075
-0.004519999999999986 2.25075
-0.004479999999999986 2.31325
-0.004439999999999986 2.25075
-0.0043999999999999855 2.18825
-0.004359999999999985 2.18825
-0.004319999999999985 2.25075
-0.004279999999999985 2.25075
-0.004239999999999985 2.18825
-0.004199999999999985 2.31325
-0.004159999999999985 2.25075
-0.004119999999999985 2.25075
-0.004079999999999985 2.18825
-0.004039999999999985 2.25075
-0.0039999999999999845 2.18825
-0.003959999999999984 2.25075
-0.003919999999999984 2.25075
-0.003879999999999984 2.18825
-0.003839999999999984 2.25075
-0.003799999999999984 2.25075
-0.003759999999999984 2.25075
-0.0037199999999999837 2.25075
-0.0036799999999999836 2.25075
-0.0036399999999999835 2.25075
-0.0035999999999999834 2.25075
-0.0035599999999999833 2.18825
-0.003519999999999983 2.18825
-0.003479999999999983 2.18825
-0.003439999999999983 2.18825
-0.003399999999999983 2.25075
-0.003359999999999983 2.18825
-0.0033199999999999827 2.18825
-0.0032799999999999826 2.12575
-0.0032399999999999825 2.18825
-0.0031999999999999824 2.25075
-0.0031599999999999823 2.25075
-0.003119999999999982 2.25075
-0.003079999999999982 2.25075
-0.003039999999999982 2.18825
-0.002999999999999982 2.18825
-0.0029599999999999817 2.18825
-0.0029199999999999816 2.18825
-0.0028799999999999815 2.12575
-0.0028399999999999814 2.18825
-0.0027999999999999813 2.12575
-0.0027599999999999812 2.18825
-0.002719999999999981 2.18825
-0.002679999999999981 2.18825
-0.002639999999999981 2.12575
-0.002599999999999981 2.06325
-0.0025599999999999807 1.87575
-0.0025199999999999806 1.43825
-0.0024799999999999805 1.18825
-0.0024399999999999804 0.87575
-0.0023999999999999803 0.56325
-0.00235999999999998 0.18825
-0.00231999999999998 0.12575
-0.00227999999999998 -0.24925
-0.00223999999999998 -0.31175
-0.0021999999999999797 -0.56175
-0.0021599999999999796 -0.81175
-0.0021199999999999795 -0.81175
-0.0020799999999999794 -1.06175
-0.0020399999999999793 -1.12425
-0.0019999999999999792 -1.31175
-0.001959999999999979 -1.43675
-0.001919999999999979 -1.56175
-0.001879999999999979 -1.56175
-0.0018399999999999788 -1.62425
-0.0017999999999999787 -1.68675
-0.0017599999999999786 -1.87425
-0.0017199999999999785 -1.93675
-0.0016799999999999784 -1.93675
-0.0016399999999999783 -2.06175
-0.0015999999999999782 -2.06175
-0.001559999999999978 -2.12425
-0.001519999999999978 -2.18675
-0.0014799999999999779 -2.18675
-0.0014399999999999778 -2.24925
-0.0013999999999999777 -2.31175
-0.0013599999999999775 -2.37425
-0.0013199999999999774 -2.37425
-0.0012799999999999773 -2.43675
-0.0012399999999999772 -2.37425
-0.0011999999999999771 -2.49925
-0.001159999999999977 -2.49925
-0.001119999999999977 -2.49925
-0.0010799999999999768 -2.43675
-0.0010399999999999767 -2.49925
-9.999999999999766E-4 -2.56175
-9.599999999999766E-4 -2.56175
-9.199999999999766E-4 -2.62425
-8.799999999999766E-4 -2.56175
-8.399999999999766E-4 -2.62425
-7.999999999999766E-4 -2.62425
-7.599999999999766E-4 -2.56175
-7.199999999999766E-4 -2.62425
-6.799999999999766E-4 -2.68675
-6.399999999999766E-4 -2.62425
-5.999999999999766E-4 -2.62425
-5.599999999999766E-4 -2.68675
-5.199999999999766E-4 -2.68675
-4.7999999999997665E-4 -2.62425
-4.3999999999997665E-4 -2.68675
-3.9999999999997665E-4 -2.56175
-3.5999999999997666E-4 -2.62425
-3.1999999999997666E-4 -2.62425
-2.7999999999997667E-4 -2.62425
-2.3999999999997667E-4 -2.68675
-1.9999999999997667E-4 -2.68675
-1.5999999999997668E-4 -2.74925
-1.1999999999997668E-4 -2.68675
-7.999999999997668E-5 -2.62425
-3.999999999997668E-5 -2.68675
2.3323899235594414E-17 -2.68675
4.000000000002333E-5 -2.68675
8.000000000002333E-5 -2.68675
1.2000000000002333E-4 -2.68675
1.6000000000002332E-4 -2.68675
2.0000000000002332E-4 -2.68675
2.4000000000002332E-4 -2.68675
2.8000000000002334E-4 -2.68675
3.2000000000002334E-4 -2.68675
3.6000000000002333E-4 -2.68675
4.0000000000002333E-4 -2.68675
4.400000000000233E-4 -2.68675
4.800000000000233E-4 -2.68675
5.200000000000234E-4 -2.62425
5.600000000000234E-4 -2.62425
6.000000000000234E-4 -2.56175
6.400000000000234E-4 -2.62425
6.800000000000234E-4 -2.68675
7.200000000000234E-4 -2.74925
7.600000000000234E-4 -2.74925
8.000000000000233E-4 -2.68675
8.400000000000233E-4 -2.62425
8.800000000000233E-4 -2.68675
9.200000000000233E-4 -2.68675
9.600000000000233E-4 -2.68675
0.0010000000000000234 -2.68675
0.0010400000000000235 -2.62425
0.0010800000000000236 -2.56175
0.0011200000000000238 -2.62425
0.0011600000000000239 -2.56175
0.001200000000000024 -2.62425
0.001240000000000024 -2.56175
0.0012800000000000242 -2.62425
0.0013200000000000243 -2.68675
0.0013600000000000244 -2.62425
0.0014000000000000245 -2.62425
0.0014400000000000246 -2.62425
0.0014800000000000247 -2.62425
0.0015200000000000248 -2.68675
0.001560000000000025 -2.56175
0.001600000000000025 -2.62425
0.0016400000000000251 -2.56175
0.0016800000000000252 -2.68675
0.0017200000000000253 -2.62425
0.0017600000000000254 -2.62425
0.0018000000000000255 -2.68675
0.0018400000000000256 -2.56175
0.0018800000000000257 -2.62425
0.0019200000000000259 -2.56175
0.001960000000000026 -2.56175
0.002000000000000026 -2.62425
0.002040000000000026 -2.56175
0.0020800000000000263 -2.62425
0.0021200000000000264 -2.62425
0.0021600000000000265 -2.62425
0.0022000000000000266 -2.56175
0.0022400000000000267 -2.62425
0.002280000000000027 -2.62425
0.002320000000000027 -2.56175
0.002360000000000027 -2.62425
0.002400000000000027 -2.62425
0.002440000000000027 -2.06175
0.0024800000000000273 -1.87425
0.0025200000000000274 -1.49925
0.0025600000000000275 -1.12425
0.0026000000000000276 -0.81175
0.0026400000000000277 -0.56175
0.002680000000000028 -0.43675
0.002720000000000028 -0.18675
0.002760000000000028 -0.0617499
0.002800000000000028 0.12575
0.0028400000000000283 0.37575
0.0028800000000000284 0.43825
0.0029200000000000285 0.68825
0.0029600000000000286 0.68825
0.0030000000000000287 0.87575
0.003040000000000029 1.00075
0.003080000000000029 1.12575
0.003120000000000029 1.18825
0.003160000000000029 1.25075
0.003200000000000029 1.37575
0.0032400000000000293 1.43825
0.0032800000000000294 1.50075
0.0033200000000000295 1.62575
0.0033600000000000296 1.62575
0.0034000000000000297 1.62575
0.00344000000000003 1.75075
0.00348000000000003 1.81325
0.00352000000000003 1.81325
0.00356000000000003 1.87575
0.0036000000000000303 1.87575
0.0036400000000000304 1.87575
0.0036800000000000305 1.93825
0.0037200000000000306 2.06325
0.0037600000000000307 2.06325
0.003800000000000031 2.06325
0.003840000000000031 2.12575
0.003880000000000031 2.06325
0.003920000000000031 2.06325
0.003960000000000031 2.12575
0.004000000000000031 2.18825
0.004040000000000031 2.18825
0.0040800000000000315 2.12575
0.004120000000000032 2.18825
0.004160000000000032 2.18825
0.004200000000000032 2.18825
0.004240000000000032 2.18825
0.004280000000000032 2.25075
0.004320000000000032 2.25075
0.004360000000000032 2.25075
0.004400000000000032 2.25075
0.0044400000000000325 2.25075
0.004480000000000033 2.25075
0.004520000000000033 2.18825
0.004560000000000033 2.25075
0.004600000000000033 2.25075
0.004640000000000033 2.18825
0.004680000000000033 2.25075
0.004720000000000033 2.31325
0.004760000000000033 2.31325
0.004800000000000033 2.25075
0.0048400000000000335 2.18825
0.004880000000000034 2.25075
0.004920000000000034 2.25075
0.004960000000000034 2.25075
0.005000000000000034 2.25075
0.005040000000000034 2.25075
0.005080000000000034 2.25075
0.005120000000000034 2.25075
0.005160000000000034 2.31325
0.0052000000000000345 2.25075
0.0052400000000000346 2.25075
0.005280000000000035 2.31325
0.005320000000000035 2.31325
0.005360000000000035 2.25075
0.005400000000000035 2.25075
0.005440000000000035 2.25075
0.005480000000000035 2.25075
0.005520000000000035 2.25075
0.005560000000000035 2.25075
0.0056000000000000355 2.18825
0.005640000000000036 2.25075
0.005680000000000036 2.25075
0.005720000000000036 2.25075
0.005760000000000036 2.25075
0.005800000000000036 2.25075
0.005840000000000036 2.25075
0.005880000000000036 2.25075
0.005920000000000036 2.25075
0.0059600000000000364 2.31325
0.0060000000000000366 2.31325
0.006040000000000037 2.31325
0.006080000000000037 2.18825
0.006120000000000037 2.18825
0.006160000000000037 2.18825
0.006200000000000037 2.25075
0.006240000000000037 2.18825
0.006280000000000037 2.25075
0.006320000000000037 2.18825
0.0063600000000000375 2.18825
0.006400000000000038 2.18825
0.006440000000000038 2.25075
0.006480000000000038 2.06325
0.006520000000000038 2.18825
0.006560000000000038 2.18825
0.006600000000000038 2.25075
0.006640000000000038 2.25075
0.006680000000000038 2.25075
0.0067200000000000384 2.18825
0.0067600000000000385 2.18825
0.006800000000000039 2.12575
0.006840000000000039 2.18825
0.006880000000000039 2.18825
0.006920000000000039 2.25075
0.006960000000000039 2.18825
0.007000000000000039 2.18825
0.007040000000000039 2.18825
0.007080000000000039 2.18825
0.0071200000000000395 2.12575
0.00716000000000004 2.12575
0.00720000000000004 2.18825
0.00724000000000004 2.12575
0.00728000000000004 2.12575
0.00732000000000004 2.12575
0.00736000000000004 2.12575
0.00740000000000004 2.18825
0.00744000000000004 1.75075
0.0074800000000000404 1.37575
0.0075200000000000405 1.12575
0.007560000000000041 0.81325
0.007600000000000041 0.62575
0.007640000000000041 0.31325
0.007680000000000041 0.0632501
0.007720000000000041 -0.12425
0.007760000000000041 -0.31175
0.007800000000000041 -0.56175
0.007840000000000041 -0.68675
0.007880000000000041 -0.81175
0.007920000000000042 -0.99925
0.007960000000000042 -1.06175
0.008000000000000042 -1.18675
0.008040000000000042 -1.31175
0.008080000000000042 -1.49925
0.008120000000000042 -1.56175
0.008160000000000042 -1.62425
0.008200000000000042 -1.74925
0.008240000000000042 -1.81175
0.008280000000000043 -1.87425
0.008320000000000043 -1.93675
0.008360000000000043 -2.06175
0.008400000000000043 -2.06175
0.008440000000000043 -2.12425
0.008480000000000043 -2.18675
0.008520000000000043 -2.31175
0.008560000000000043 -2.31175
0.008600000000000043 -2.24925
0.008640000000000043 -2.31175
0.008680000000000044 -2.37425
0.008720000000000044 -2.31175
0.008760000000000044 -2.43675
0.008800000000000044 -2.43675
0.008840000000000044 -2.49925
0.008880000000000044 -2.56175
0.008920000000000044 -2.49925
0.008960000000000044 -2.56175
0.009000000000000044 -2.56175
0.009040000000000045 -2.49925
0.009080000000000045 -2.56175
0.009120000000000045 -2.62425
0.009160000000000045 -2.62425
0.009200000000000045 -2.62425
0.009240000000000045 -2.62425
0.009280000000000045 -2.62425
0.009320000000000045 -2.56175
0.009360000000000045 -2.68675
0.009400000000000045 -2.68675
0.009440000000000046 -2.68675
0.009480000000000046 -2.62425
0.009520000000000046 -2.68675
0.009560000000000046 -2.56175
0.009600000000000046 -2.68675
0.009640000000000046 -2.68675
0.009680000000000046 -2.68675
0.009720000000000046 -2.68675
0.009760000000000046 -2.68675
0.009800000000000047 -2.68675
0.009840000000000047 -2.68675
0.009880000000000047 -2.62425
0.009920000000000047 -2.74925
0.009960000000000047 -2.56175

Solutions

Expert Solution

Part (a):

MATLAB CODE:

x=[-0.01

-0.00996

-0.00992

-0.00988

-0.00984

-0.0098

-0.00976

-0.00972

-0.00968

-0.00964

-0.0096

-0.009559999999999999

-0.009519999999999999

-0.009479999999999999

-0.009439999999999999

-0.009399999999999999

-0.009359999999999999

-0.009319999999999998

-0.009279999999999998

-0.009239999999999998

-0.009199999999999998

-0.009159999999999998

-0.009119999999999998

-0.009079999999999998

-0.009039999999999998

-0.008999999999999998

-0.008959999999999997

-0.008919999999999997

-0.008879999999999997

-0.008839999999999997

-0.008799999999999997

-0.008759999999999997

-0.008719999999999997

-0.008679999999999997

-0.008639999999999997

-0.008599999999999997

-0.008559999999999996

-0.008519999999999996

-0.008479999999999996

-0.008439999999999996

-0.008399999999999996

-0.008359999999999996

-0.008319999999999996

-0.008279999999999996

-0.008239999999999996

-0.008199999999999995

-0.008159999999999995

-0.008119999999999995

-0.008079999999999995

-0.008039999999999995

-0.007999999999999995

-0.007959999999999995

-0.007919999999999995

-0.007879999999999995

-0.007839999999999995

-0.0077999999999999944

-0.007759999999999994

-0.007719999999999994

-0.007679999999999994

-0.007639999999999994

-0.007599999999999994

-0.007559999999999994

-0.007519999999999994

-0.007479999999999994

-0.0074399999999999935

-0.007399999999999993

-0.007359999999999993

-0.007319999999999993

-0.007279999999999993

-0.007239999999999993

-0.007199999999999993

-0.007159999999999993

-0.007119999999999993

-0.0070799999999999925

-0.0070399999999999924

-0.006999999999999992

-0.006959999999999992

-0.006919999999999992

-0.006879999999999992

-0.006839999999999992

-0.006799999999999992

-0.006759999999999992

-0.006719999999999992

-0.0066799999999999915

-0.006639999999999991

-0.006599999999999991

-0.006559999999999991

-0.006519999999999991

-0.006479999999999991

-0.006439999999999991

-0.006399999999999991

-0.006359999999999991

-0.0063199999999999906

-0.0062799999999999905

-0.00623999999999999

-0.00619999999999999

-0.00615999999999999

-0.00611999999999999

-0.00607999999999999

-0.00603999999999999

-0.00599999999999999

-0.00595999999999999

-0.0059199999999999895

-0.005879999999999989

-0.005839999999999989

-0.005799999999999989

-0.005759999999999989

-0.005719999999999989

-0.005679999999999989

-0.005639999999999989

-0.005599999999999989

-0.0055599999999999886

-0.0055199999999999885

-0.005479999999999988

-0.005439999999999988

-0.005399999999999988

-0.005359999999999988

-0.005319999999999988

-0.005279999999999988

-0.005239999999999988

-0.005199999999999988

-0.0051599999999999875

-0.005119999999999987

-0.005079999999999987

-0.005039999999999987

-0.004999999999999987

-0.004959999999999987

-0.004919999999999987

-0.004879999999999987

-0.004839999999999987

-0.004799999999999987

-0.0047599999999999865

-0.004719999999999986

-0.004679999999999986

-0.004639999999999986

-0.004599999999999986

-0.004559999999999986

-0.004519999999999986

-0.004479999999999986

-0.004439999999999986

-0.0043999999999999855

-0.004359999999999985

-0.004319999999999985

-0.004279999999999985

-0.004239999999999985

-0.004199999999999985

-0.004159999999999985

-0.004119999999999985

-0.004079999999999985

-0.004039999999999985

-0.0039999999999999845

-0.003959999999999984

-0.003919999999999984

-0.003879999999999984

-0.003839999999999984

-0.003799999999999984

-0.003759999999999984

-0.0037199999999999837

-0.0036799999999999836

-0.0036399999999999835

-0.0035999999999999834

-0.0035599999999999833

-0.003519999999999983

-0.003479999999999983

-0.003439999999999983

-0.003399999999999983

-0.003359999999999983

-0.0033199999999999827

-0.0032799999999999826

-0.0032399999999999825

-0.0031999999999999824

-0.0031599999999999823

-0.003119999999999982

-0.003079999999999982

-0.003039999999999982

-0.002999999999999982

-0.0029599999999999817

-0.0029199999999999816

-0.0028799999999999815

-0.0028399999999999814

-0.0027999999999999813

-0.0027599999999999812

-0.002719999999999981

-0.002679999999999981

-0.002639999999999981

-0.002599999999999981

-0.0025599999999999807

-0.0025199999999999806

-0.0024799999999999805

-0.0024399999999999804

-0.0023999999999999803

-0.00235999999999998

-0.00231999999999998

-0.00227999999999998

-0.00223999999999998

-0.0021999999999999797

-0.0021599999999999796

-0.0021199999999999795

-0.0020799999999999794

-0.0020399999999999793

-0.0019999999999999792

-0.001959999999999979

-0.001919999999999979

-0.001879999999999979

-0.0018399999999999788

-0.0017999999999999787

-0.0017599999999999786

-0.0017199999999999785

-0.0016799999999999784

-0.0016399999999999783

-0.0015999999999999782

-0.001559999999999978

-0.001519999999999978

-0.0014799999999999779

-0.0014399999999999778

-0.0013999999999999777

-0.0013599999999999775

-0.0013199999999999774

-0.0012799999999999773

-0.0012399999999999772

-0.0011999999999999771

-0.001159999999999977

-0.001119999999999977

-0.0010799999999999768

-0.0010399999999999767

-9.999999999999766E-4

-9.599999999999766E-4

-9.199999999999766E-4

-8.799999999999766E-4

-8.399999999999766E-4

-7.999999999999766E-4

-7.599999999999766E-4

-7.199999999999766E-4

-6.799999999999766E-4

-6.399999999999766E-4

-5.999999999999766E-4

-5.599999999999766E-4

-5.199999999999766E-4

-4.7999999999997665E-4

-4.3999999999997665E-4

-3.9999999999997665E-4

-3.5999999999997666E-4

-3.1999999999997666E-4

-2.7999999999997667E-4

-2.3999999999997667E-4

-1.9999999999997667E-4

-1.5999999999997668E-4

-1.1999999999997668E-4

-7.999999999997668E-5

-3.999999999997668E-5

2.3323899235594414E-17

4.000000000002333E-5

8.000000000002333E-5

1.2000000000002333E-4

1.6000000000002332E-4

2.0000000000002332E-4

2.4000000000002332E-4

2.8000000000002334E-4

3.2000000000002334E-4

3.6000000000002333E-4

4.0000000000002333E-4

4.400000000000233E-4

4.800000000000233E-4

5.200000000000234E-4

5.600000000000234E-4

6.000000000000234E-4

6.400000000000234E-4

6.800000000000234E-4

7.200000000000234E-4

7.600000000000234E-4

8.000000000000233E-4

8.400000000000233E-4

8.800000000000233E-4

9.200000000000233E-4

9.600000000000233E-4

0.0010000000000000234

0.0010400000000000235

0.0010800000000000236

0.0011200000000000238

0.0011600000000000239

0.001200000000000024

0.001240000000000024

0.0012800000000000242

0.0013200000000000243

0.0013600000000000244

0.0014000000000000245

0.0014400000000000246

0.0014800000000000247

0.0015200000000000248

0.001560000000000025

0.001600000000000025

0.0016400000000000251

0.0016800000000000252

0.0017200000000000253

0.0017600000000000254

0.0018000000000000255

0.0018400000000000256

0.0018800000000000257

0.0019200000000000259

0.001960000000000026

0.002000000000000026

0.002040000000000026

0.0020800000000000263

0.0021200000000000264

0.0021600000000000265

0.0022000000000000266

0.0022400000000000267

0.002280000000000027

0.002320000000000027

0.002360000000000027

0.002400000000000027

0.002440000000000027

0.0024800000000000273

0.0025200000000000274

0.0025600000000000275

0.0026000000000000276

0.0026400000000000277

0.002680000000000028

0.002720000000000028

0.002760000000000028

0.002800000000000028

0.0028400000000000283

0.0028800000000000284

0.0029200000000000285

0.0029600000000000286

0.0030000000000000287

0.003040000000000029

0.003080000000000029

0.003120000000000029

0.003160000000000029

0.003200000000000029

0.0032400000000000293

0.0032800000000000294

0.0033200000000000295

0.0033600000000000296

0.0034000000000000297

0.00344000000000003

0.00348000000000003

0.00352000000000003

0.00356000000000003

0.0036000000000000303

0.0036400000000000304

0.0036800000000000305

0.0037200000000000306

0.0037600000000000307

0.003800000000000031

0.003840000000000031

0.003880000000000031

0.003920000000000031

0.003960000000000031

0.004000000000000031

0.004040000000000031

0.0040800000000000315

0.004120000000000032

0.004160000000000032

0.004200000000000032

0.004240000000000032

0.004280000000000032

0.004320000000000032

0.004360000000000032

0.004400000000000032

0.0044400000000000325

0.004480000000000033

0.004520000000000033

0.004560000000000033

0.004600000000000033

0.004640000000000033

0.004680000000000033

0.004720000000000033

0.004760000000000033

0.004800000000000033

0.0048400000000000335

0.004880000000000034

0.004920000000000034

0.004960000000000034

0.005000000000000034

0.005040000000000034

0.005080000000000034

0.005120000000000034

0.005160000000000034

0.0052000000000000345

0.0052400000000000346

0.005280000000000035

0.005320000000000035

0.005360000000000035

0.005400000000000035

0.005440000000000035

0.005480000000000035

0.005520000000000035

0.005560000000000035

0.0056000000000000355

0.005640000000000036

0.005680000000000036

0.005720000000000036

0.005760000000000036

0.005800000000000036

0.005840000000000036

0.005880000000000036

0.005920000000000036

0.0059600000000000364

0.0060000000000000366

0.006040000000000037

0.006080000000000037

0.006120000000000037

0.006160000000000037

0.006200000000000037

0.006240000000000037

0.006280000000000037

0.006320000000000037

0.0063600000000000375

0.006400000000000038

0.006440000000000038

0.006480000000000038

0.006520000000000038

0.006560000000000038

0.006600000000000038

0.006640000000000038

0.006680000000000038

0.0067200000000000384

0.0067600000000000385

0.006800000000000039

0.006840000000000039

0.006880000000000039

0.006920000000000039

0.006960000000000039

0.007000000000000039

0.007040000000000039

0.007080000000000039

0.0071200000000000395

0.00716000000000004

0.00720000000000004

0.00724000000000004

0.00728000000000004

0.00732000000000004

0.00736000000000004

0.00740000000000004

0.00744000000000004

0.0074800000000000404

0.0075200000000000405

0.007560000000000041

0.007600000000000041

0.007640000000000041

0.007680000000000041

0.007720000000000041

0.007760000000000041

0.007800000000000041

0.007840000000000041

0.007880000000000041

0.007920000000000042

0.007960000000000042

0.008000000000000042

0.008040000000000042

0.008080000000000042

0.008120000000000042

0.008160000000000042

0.008200000000000042

0.008240000000000042

0.008280000000000043

0.008320000000000043

0.008360000000000043

0.008400000000000043

0.008440000000000043

0.008480000000000043

0.008520000000000043

0.008560000000000043

0.008600000000000043

0.008640000000000043

0.008680000000000044

0.008720000000000044

0.008760000000000044

0.008800000000000044

0.008840000000000044

0.008880000000000044

0.008920000000000044

0.008960000000000044

0.009000000000000044

0.009040000000000045

0.009080000000000045

0.009120000000000045

0.009160000000000045

0.009200000000000045

0.009240000000000045

0.009280000000000045

0.009320000000000045

0.009360000000000045

0.009400000000000045

0.009440000000000046

0.009480000000000046

0.009520000000000046

0.009560000000000046

0.009600000000000046

0.009640000000000046

0.009680000000000046

0.009720000000000046

0.009760000000000046

0.009800000000000047

0.009840000000000047

0.009880000000000047

0.009920000000000047

0.009960000000000047];

y=[2.68675

-2.62425

-2.74925

-2.62425

-2.62425

-2.68675

-2.62425

-2.68675

-2.62425

-2.74925

-2.62425

-2.74925

-2.68675

-2.68675

-2.68675

-2.68675

-2.62425

-2.68675

-2.68675

-2.62425

-2.68675

-2.68675

-2.62425

-2.68675

-2.68675

-2.62425

-2.62425

-2.62425

-2.68675

-2.68675

-2.62425

-2.68675

-2.62425

-2.68675

-2.62425

-2.68675

-2.62425

-2.62425

-2.62425

-2.68675

-2.62425

-2.62425

-2.62425

-2.56175

-2.62425

-2.56175

-2.62425

-2.62425

-2.62425

-2.56175

-2.62425

-2.62425

-2.62425

-2.62425

-2.49925

-2.62425

-2.56175

-2.56175

-2.56175

-2.56175

-2.43675

-2.06175

-1.74925

-1.43675

-1.12425

-0.93675

-0.68675

-0.43675

-0.24925

-0.12425

0.12575

0.43825

0.50075

0.62575

0.75075

0.87575

1.00075

1.06325

1.18825

1.25075

1.37575

1.43825

1.50075

1.50075

1.62575

1.68825

1.81325

1.87575

1.87575

1.87575

1.93825

2.00075

1.93825

2.00075

2.00075

2.06325

2.12575

2.12575

2.00075

2.18825

2.12575

2.12575

2.18825

2.25075

2.12575

2.18825

2.18825

2.18825

2.25075

2.25075

2.18825

2.18825

2.31325

2.25075

2.31325

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.18825

2.25075

2.25075

2.25075

2.25075

2.25075

2.37575

2.25075

2.25075

2.18825

2.25075

2.18825

2.25075

2.25075

2.31325

2.25075

2.25075

2.31325

2.25075

2.18825

2.18825

2.25075

2.25075

2.18825

2.31325

2.25075

2.25075

2.18825

2.25075

2.18825

2.25075

2.25075

2.18825

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.18825

2.18825

2.18825

2.18825

2.25075

2.18825

2.18825

2.12575

2.18825

2.25075

2.25075

2.25075

2.25075

2.18825

2.18825

2.18825

2.18825

2.12575

2.18825

2.12575

2.18825

2.18825

2.18825

2.12575

2.06325

1.87575

1.43825

1.18825

0.87575

0.56325

0.18825

0.12575

-0.24925

-0.31175

-0.56175

-0.81175

-0.81175

-1.06175

-1.12425

-1.31175

-1.43675

-1.56175

-1.56175

-1.62425

-1.68675

-1.87425

-1.93675

-1.93675

-2.06175

-2.06175

-2.12425

-2.18675

-2.18675

-2.24925

-2.31175

-2.37425

-2.37425

-2.43675

-2.37425

-2.49925

-2.49925

-2.49925

-2.43675

-2.49925

-2.56175

-2.56175

-2.62425

-2.56175

-2.62425

-2.62425

-2.56175

-2.62425

-2.68675

-2.62425

-2.62425

-2.68675

-2.68675

-2.62425

-2.68675

-2.56175

-2.62425

-2.62425

-2.62425

-2.68675

-2.68675

-2.74925

-2.68675

-2.62425

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.62425

-2.62425

-2.56175

-2.62425

-2.68675

-2.74925

-2.74925

-2.68675

-2.62425

-2.68675

-2.68675

-2.68675

-2.68675

-2.62425

-2.56175

-2.62425

-2.56175

-2.62425

-2.56175

-2.62425

-2.68675

-2.62425

-2.62425

-2.62425

-2.62425

-2.68675

-2.56175

-2.62425

-2.56175

-2.68675

-2.62425

-2.62425

-2.68675

-2.56175

-2.62425

-2.56175

-2.56175

-2.62425

-2.56175

-2.62425

-2.62425

-2.62425

-2.56175

-2.62425

-2.62425

-2.56175

-2.62425

-2.62425

-2.06175

-1.87425

-1.49925

-1.12425

-0.81175

-0.56175

-0.43675

-0.18675

-0.0617499

0.12575

0.37575

0.43825

0.68825

0.68825

0.87575

1.00075

1.12575

1.18825

1.25075

1.37575

1.43825

1.50075

1.62575

1.62575

1.62575

1.75075

1.81325

1.81325

1.87575

1.87575

1.87575

1.93825

2.06325

2.06325

2.06325

2.12575

2.06325

2.06325

2.12575

2.18825

2.18825

2.12575

2.18825

2.18825

2.18825

2.18825

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.18825

2.25075

2.25075

2.18825

2.25075

2.31325

2.31325

2.25075

2.18825

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.31325

2.25075

2.25075

2.31325

2.31325

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.18825

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.25075

2.31325

2.31325

2.31325

2.18825

2.18825

2.18825

2.25075

2.18825

2.25075

2.18825

2.18825

2.18825

2.25075

2.06325

2.18825

2.18825

2.25075

2.25075

2.25075

2.18825

2.18825

2.12575

2.18825

2.18825

2.25075

2.18825

2.18825

2.18825

2.18825

2.12575

2.12575

2.18825

2.12575

2.12575

2.12575

2.12575

2.18825

1.75075

1.37575

1.12575

0.81325

0.62575

0.31325

0.0632501

-0.12425

-0.31175

-0.56175

-0.68675

-0.81175

-0.99925

-1.06175

-1.18675

-1.31175

-1.49925

-1.56175

-1.62425

-1.74925

-1.81175

-1.87425

-1.93675

-2.06175

-2.06175

-2.12425

-2.18675

-2.31175

-2.31175

-2.24925

-2.31175

-2.37425

-2.31175

-2.43675

-2.43675

-2.49925

-2.56175

-2.49925

-2.56175

-2.56175

-2.49925

-2.56175

-2.62425

-2.62425

-2.62425

-2.62425

-2.62425

-2.56175

-2.68675

-2.68675

-2.68675

-2.62425

-2.68675

-2.56175

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.68675

-2.62425

-2.74925

-2.56175];

plot(x,y)

xlabel(‘time”)

ylabel(“voltage”)

MATLAB Code:

num=[6289.31];

den=[1 6289.31];

sys=tf(num,den)

bode(sys)

Output:


Related Solutions

Please use MATLAB. Write a program to plot the piecewise function using IF statements and a...
Please use MATLAB. Write a program to plot the piecewise function using IF statements and a FOR loop in MatLab. Use x as the input vector. Plot from -20<=x<=20, increment of 1.   y =   4 x + 10 ,             ? ≥ 9,                   y =      5? + 5,                   0 ≤ ? < 9,                    y =     ?2 + 6? + 8, ? < 0 Plot each segment of the fn with different shaped points and a different color, for...
Use Matlab to do the following (please) : 1. Plot the following signals in one figure...
Use Matlab to do the following (please) : 1. Plot the following signals in one figure window using Matlab commands. Given x (n) = {5,2,1,3,1,4,2} plot x(3n) 2. Plot all transformations of a Gaussian signal in one figure window 3. Plot r(-3t-9).
Please conduct an external analysis of the company Yahoo. Use these methods to make the analysis:...
Please conduct an external analysis of the company Yahoo. Use these methods to make the analysis: PESTEL, Industry Structure, Five Forces, Industry Dynamics, Strategic Groups, mobility barriers.
Plot the original data and the regression “line” ************USING Matlab************. "Submit plot" USING MATLAB! USING MATLAB!...
Plot the original data and the regression “line” ************USING Matlab************. "Submit plot" USING MATLAB! USING MATLAB! USING MATLAB! ONLY BY USING MATLAB!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 14.9 The concentration of E. coli bacteria in a swimming area is monitored after a storm: t (hr)                     4           8         12        16    20 24 c (CFU/100 mL) 1600     1320   1000     890 650 560 The time is measured in hours following the end of the storm and the unit CFU is a .colony forming unit.. Use this data to estimate (a)...
Question 5. Use MATLAB to solve for and plot the response of the following models for...
Question 5. Use MATLAB to solve for and plot the response of the following models for 0≤t ≤1.5, where the input is f (t) =5t and the initial conditions are zero a. 3¨ x +21˙ x +30x = f (t) b. 5¨ A (Turn in the MATLAB script and answers from MATLAB, .m file, screen shots if needed) B (Turn in the MATLAB plot with t being time in SI units) C Comment on the response the analytical solution compared...
Use MATLAB DSOLVE to solve the folloing ODE and plot it: 300x'' + 60x' + 6840...
Use MATLAB DSOLVE to solve the folloing ODE and plot it: 300x'' + 60x' + 6840 = f(t)
3. Use matlab to plot the output voltage of an inverting operational amplifier given the following...
3. Use matlab to plot the output voltage of an inverting operational amplifier given the following conditions: K = Gain of the amplifier = 12.5. Vi = input voltage -2.5 < Vi < 2.5 V], (use 0.25 increments). V+ = positive power supply voltage, V+ = +20 V. V- = negative power supply voltage V- = -20V. Vo = output voltage Vo = -KVi Recall that if the output voltage Vo is greater than V+, or less than V-, the...
Use MATLAB to plot the likelihood function for estimating the probability of a coin landing heads-up...
Use MATLAB to plot the likelihood function for estimating the probability of a coin landing heads-up without prior knowledge after observing HTHT. -would greatly appreciate if you went in detail on how to find the likelihood function based off the given information.
Please show MATLAB code to plot below function from x = −3 to x = 12:...
Please show MATLAB code to plot below function from x = −3 to x = 12: function f = piecewise(x) % implements piecewise function using if statements if x < 0     f = -x^3 - 2*x^2 + 3*x; elseif x <= 8     f = (12/pi) * sin(pi*x/4); else     f = (600*exp(x-8))/(7*(14 + 6*exp(x-8))) -30/7; end
Use Matlab Plot the radiation pattern of Yagi Uda array (with 4-directions) &write the characteristics
Use Matlab Plot the radiation pattern of Yagi Uda array (with 4-directions) &write the characteristics
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT