Please answer How to do averaging to increase signal to noise ratio

[nareshjaiswal]

I have 5 signals (.lvm files) as 'acceleration Vs time'  captured one after another.

These sigals may contain measurement noise.

It is given in literature that if we average multiple signals then signal to noise ratio is more in averaged signal

as compared to individual signal.

How to get this averaged signal?

Please help.................through express  VI

I have attached required files.

[Bob_Schor]

The LabVIEW forums are good places to ask questions about LabVIEW programming.  Basic Signal Theory (such as how averaging works and why it can decrease the measurement noise in a signal) is better asked in a Signal Theory course.

For averaging to work, you need to design your acquisition system so that you capture multiple signals that are basically "the same except for random noise variations".  For example, if the signal is, say, a 60 Hz sinusoid, your various samples must all start at the same place on the sine wave (otherwise you will "average out" the signal, too).

You've provided 5 data files.  I doubt that anyone here is interested in averaging them for you.  However, if you want to know how to design your LabVIEW program to collect and average multiple waveforms, by all means try writing such a program yourself, test it yourself, see if it works, and if it doesn't, show us the code and ask for help.

Bob Schor

[GerdW]

Hi nareshjaiswal,

I already told you not to create new threads again and again for the same topic!

But still you start new discussions instead of sticking with just one. Do you think it will please people to do work for you when someone else in a different thread maybe did the same days before?

And while you start new discussions again and again: what have you done in between to solve your problems?

Please help.................through express  VI

Why do you insist on using express VIs? Why not use basic filter functions?

I have attached required files.

You have attached some signal data files. But required is a lot more information on your signals. What are the characteristics of the expected signal and noise?