1
$\begingroup$

Let's say that I have 9 sensors arranged in a 3 by 3 grid. I have multiple objects which emit the same signal and move past the grid of sensors, which are picking up the signals. I have a CSV file which contains readings from the 9 sensors collected every 0.01s for up to a minute and I don't know how many objects are in there. How can I find out how many there were?

I think each of the 9 sensors will basically collect very similar readings to each other, but at different time-points (since an object moves past each sensor at a different time). Any ideas on a general approach to these sorts of problems would be welcome too!

$\endgroup$
0
$\begingroup$

It is fourier transformation problem. All you need to do is to do a fourier transformation of your discrete signal and it will tell all the different frequencies it consists of. Numpy.fft class will be helpful.

$\endgroup$
0
$\begingroup$

You are describing a variation of the “cocktail party problem,” which refers to the problem of perceiving a signal in a noisy landscape.

One common solution is independent component analysis (ICA), a computational method for separating a multivariate signal into additive subcomponents.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.