How to replicate Matlab moving average to Simulink model?

Hi All, i am struggling to figure out how to replicate my Matlab moving average filter results to a simulink model? Pretty new in the Simulink world .... I have tried using the From file block, but this doesn't seem to work. Can someone help guide me in the right derictions, pretty please?

Matlab code below.

sample_window_size=30;
total_no_of_expected_data_samples=24*30;
averaging_vector=(1/sample_window_size)*ones(1,sample_window_size)
norm_y=1
lower_limit=50
upper_limit=2000
original_data=lower_limit+rand(1,total_no_of_expected_data_samples).*(upper_limit-lower_limit)
filtered_data=filter(averaging_vector,norm_y,original_data);
t=1:length(original_data)
plot(t,original_data,'--',t,filtered_data,'-')
legend('Original Data','Filtered Data')

averaging_vector = 1×30

0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333 0.0333

norm_y = 1

lower_limit = 50

upper_limit = 2000

original_data = 1×720

1.0e+03 * 0.3172 0.6796 1.2769 1.0724 0.3673 1.0012 0.8914 0.8614 0.8318 1.3123 0.6702 0.1595 1.3916 0.8729 0.6457 0.0646 1.3070 1.7250 0.8568 1.6881 1.5451 0.3118 0.6545 1.0748 0.7542 0.4284 0.7215 0.8487 1.7624 0.3146

t = 1×720

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

Answer 1

[Mathieu NOE]

hello

in terms of signal processing, a moving average filter is a FIR with all coefficients of the numerator equals ( = 1/n if the FIR numerator length = n , your average length)

use the "discrete filter" block

NB : you can design any FIR or IIR low pass filter , they will all do your average work with simply different cut off frequency and different slope , so this will both affect the transient and steady state error.

as alternative you can use a "buffer" block followed by the math function "mean"

see example attached

[Desislava Petkova]

Thank you!

[Mathieu NOE]

My pleasure !