Average of a repeating array

Hi,

I've got an output vector from simulink that has dimensions of 25560x1. There are 100 individual cycles within this data and I am trying to get an average of all of them. I am using the attached code to isolate each 256 cycle element, add it together, and then divide to achieve the average. However, I keep getting an error about exceeding array elements. Is there a better way to "squash" this 25560 array into a 256 array with the data being averaged? Thank you.

Bat10Count = round(25560/100);

for x = 1:Bat10Count
    TotalBatteryP10_293(x)=(BatteryS10_293(x)+BatteryS10_293(Bat10Count+x)+BatteryS10_293(2*Bat10Count+x)+BatteryS10_293(3*Bat10Count+x)+BatteryS10_293(4*Bat10Count+x)+BatteryS10_293(5*Bat10Count+x)+BatteryS10_293(6*Bat10Count+x)+BatteryS10_293(7*Bat10Count+x)+BatteryS10_293(8*Bat10Count+x)+BatteryS10_293(9*Bat10Count+x)+ BatteryS10_293(10*Bat10Count+x)+BatteryS10_293(11*Bat10Count+x)+BatteryS10_293(12*Bat10Count+x)+BatteryS10_293(13*Bat10Count+x)+BatteryS10_293(14*Bat10Count+x)+BatteryS10_293(15*Bat10Count+x)+BatteryS10_293(16*Bat10Count+x)+BatteryS10_293(17*Bat10Count+x)+BatteryS10_293(18*Bat10Count+x)+BatteryS10_293(19*Bat10Count+x)+BatteryS10_293(20*Bat10Count+x)+BatteryS10_293(21*Bat10Count+x)+BatteryS10_293(22*Bat10Count+x)+BatteryS10_293(23*Bat10Count+x)+BatteryS10_293(24*Bat10Count+x)+BatteryS10_293(25*Bat10Count+x)+BatteryS10_293(26*Bat10Count+x)+BatteryS10_293(27*Bat10Count+x)+BatteryS10_293(28*Bat10Count+x)+BatteryS10_293(29*Bat10Count+x)+BatteryS10_293(30*Bat10Count+x)+BatteryS10_293(31*Bat10Count+x)+BatteryS10_293(32*Bat10Count+x)+BatteryS10_293(33*Bat10Count+x)+BatteryS10_293(34*Bat10Count+x)+BatteryS10_293(35*Bat10Count+x)+BatteryS10_293(36*Bat10Count+x)+BatteryS10_293(37*Bat10Count+x)+BatteryS10_293(38*Bat10Count+x)+BatteryS10_293(39*Bat10Count+x)+BatteryS10_293(40*Bat10Count+x)+BatteryS10_293(41*Bat10Count+x)+BatteryS10_293(42*Bat10Count+x)+BatteryS10_293(43*Bat10Count+x)+BatteryS10_293(44*Bat10Count+x)+BatteryS10_293(45*Bat10Count+x)+BatteryS10_293(46*Bat10Count+x)+BatteryS10_293(47*Bat10Count+x)+BatteryS10_293(48*Bat10Count+x)+BatteryS10_293(49*Bat10Count+x)+BatteryS10_293(50*Bat10Count+x)+BatteryS10_293(51*Bat10Count+x)+BatteryS10_293(52*Bat10Count+x)+BatteryS10_293(53*Bat10Count+x)+BatteryS10_293(54*Bat10Count+x)+BatteryS10_293(55*Bat10Count+x)+BatteryS10_293(56*Bat10Count+x)+BatteryS10_293(57*Bat10Count+x)+BatteryS10_293(58*Bat10Count+x)+BatteryS10_293(59*Bat10Count+x)+BatteryS10_293(60*Bat10Count+x)+BatteryS10_293(61*Bat10Count+x)+BatteryS10_293(62*Bat10Count+x)+BatteryS10_293(63*Bat10Count+x)+BatteryS10_293(64*Bat10Count+x)+BatteryS10_293(65*Bat10Count+x)+BatteryS10_293(66*Bat10Count+x)+BatteryS10_293(67*Bat10Count+x)+BatteryS10_293(68*Bat10Count+x)+BatteryS10_293(69*Bat10Count+x)+BatteryS10_293(70*Bat10Count+x)+BatteryS10_293(71*Bat10Count+x)+BatteryS10_293(72*Bat10Count+x)+BatteryS10_293(73*Bat10Count+x)+BatteryS10_293(74*Bat10Count+x)+BatteryS10_293(75*Bat10Count+x)+BatteryS10_293(76*Bat10Count+x)+BatteryS10_293(77*Bat10Count+x)+BatteryS10_293(78*Bat10Count+x)+BatteryS10_293(79*Bat10Count+x)+BatteryS10_293(80*Bat10Count+x)+BatteryS10_293(81*Bat10Count+x)+BatteryS10_293(82*Bat10Count+x)+BatteryS10_293(83*Bat10Count+x)+BatteryS10_293(84*Bat10Count+x)+BatteryS10_293(85*Bat10Count+x)+BatteryS10_293(86*Bat10Count+x)+BatteryS10_293(87*Bat10Count+x)+BatteryS10_293(88*Bat10Count+x)+BatteryS10_293(89*Bat10Count+x)+BatteryS10_293(90*Bat10Count+x)+BatteryS10_293(91*Bat10Count+x)+BatteryS10_293(92*Bat10Count+x)+BatteryS10_293(93*Bat10Count+x)+BatteryS10_293(94*Bat10Count+x)+BatteryS10_293(95*Bat10Count+x)+BatteryS10_293(96*Bat10Count+x)+BatteryS10_293(97*Bat10Count+x)+BatteryS10_293(98*Bat10Count+x)+BatteryS10_293(99*Bat10Count+x))/100;
end

Answer 1

[sai charan sampara]

Hello,

You can pad some zeros at the end to make the array size divisible by 100 and then use the "reshape" command to divide into sets of 100 cycles. Then you can use the "mean" function to take the average over each cycle.

Here is an example code showing the same:

M=1:260 % Random array for testing

M = 1x260

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

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M=[M,zeros(1,40)] % Pad zeros at the end to make it a multiple of 100

M = 1x300

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

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M=reshape(M,100,[]); % Reshape into a matrix with 100 rows
M_avg=mean(M,1) % Take mean along each column

M_avg = 1x3

50.5000 150.5000 138.3000

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You can refer to these links for more information:

• https://www.mathworks.com/help/matlab/ref/reshape.html
• https://www.mathworks.com/help/matlab/ref/mean.html