MCL project posted in ECMI blog

So, I got my “Studying Uncertainty for robot localization using Monte Carlo Localization” project posted in ECMI (European Consortium for Mathematics in Industry) blog 🙂

here is the link:


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ROT 13 with LabVIEW

So what about ciphering text message using LabVIEW? In this tutorial, we explore using ROT13 in LabVIEW; check it here!

Make sure to also check LabVIEW main page here.

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Audio signals with LabVIEW

Now, it’s time to play around with audio files inside LabVIEW. It’s always pretty cool to play with music. So, let’s try out and have some fun playing back the music, plotting it on a graph and do Fourier Transform to see the frequencies chart. Check out here.

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Fourier Summation using LabVIEW

The next practice of using LabVIEW is out! In this one, we will apply the previous VI into something practical. Let’s build a Fourier summation. If you don’t remember, then any function (not quite any function, but let’s skip the theory for now) can be represented by Fourier approximation as:

f(x) = ∑a cos (nx) + b sin(nx)

In this formula, a and b are the Fourier coefficients that can be calculated using some equations, but for simplification purposes we will enter them manually.

Check out this page to follow on.

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Introduction to LabVIEW

So, I finally started to create the LabVIEW content. Check out the page here! Introduction material has been added.

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Introduction to digital image processing

DIP is one emerging technology that is getting a lot of applications in various fields. It has its origins dating back to the early 20th century where it had a sole application in the press sector. Nowadays, it exists in photography, medicine, industry and astronomy. So, what do we mean by DIP and how do we see an image from an engineering perspective?

Find out here

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Digital Image Processing

Image processing is a very interesting field for me because it gives me a beautiful insight into mathematics. Here I’m considering 3 main topics for image processing: image enhancement, image compression and morphological operations. I’d provide brief explanation for each technique, its mathematical treatment and coding it with openCV (with Python). Sometimes, I’d use MATLAB for illustrating some stuff because it is very powerful when it comes to math visualization.

Check more here

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