Sliding window integrator in matlab code

Hi, I want to implement sliding window integration using matlab code. I know its easy to implement in simulink(its taking large time due to large computation data). but i need this in matlab code. Can any one please provide hints how can i proceed. I have signal with pulse period of 5seconds and my signal is high from 2 to 3 sec.I want to integrate signal only during this period 2 to 3sec.

thank you. NTR

Answer 1

[Fangjun Jiang]

The key function is conv().

[NTR]

I checked this conv. but it is adding some more data.i dont have proper reason why is this happening

[Fangjun Jiang]

If you give a small example data and the expected output, others might help to figure it out.

[NTR]

I have gaussian signal ranging from 0 to 5ns. I want to integrate this signal only in period 2 to 3 ns. For this purpose i want to use windowed integrator. If I use lpf then it integrates input from 0 5 ns period which i don't want.

My idea is to use windowed integrator which can integrate only during required period.But I dont have any clue how can i implement this in matlab code.

I am thinking to multiply gaussian input with square wave which is high during 2 to 3ns out of 5ns period. Then apply integration to this output.

please correct me if i am wrong

Thank you

/NTR

[Fangjun Jiang]

Yes. I would say just multiplying your signal with a square wave signal and then sum the results.

[Fangjun Jiang]

Or use logical index.

t=0:5;

signal=rand(size(t));

selection=and(2<=t,t<=3);

r=sum(signal(selection))

[NTR]

Hi Jiang Thank you are your valuable support. I am doing this by multiplying input with square wave. but I have one question

When we multiply two signal the result will also have unwanted inter modulation products(like mixer).I mean unwanted frequency components.Do you have any comment how these will affect our integrator result.

[Fangjun Jiang]

I don't understand what you are talking about. If signal=rand(6,1), selection=[0 0 1 1 0 0], then r=selection*signal is the same as above, the sum of the value at t==2 and t==3.