How big of a number is 64bit? Quite big as it turns out:
Let’s see why floats are traditionally avoided in embedded systems. In reverse in a system that does use them, removing them is a very good opportunity to save space when needed.
Let’s do the experiment of doing calculations bigger than the bus size of a modern microcontroller and see how bad the generated assembly code look.
Let’s see how to have multiple tasks inside of our micro controller without having to install an OS in it.
Does doubling the number of bits of a microcontroller double its processing power? What does it mean this number of bits?
In 100% of the embedded projects I worked on, memory became an issue at some point. Either not enough RAM or not enough flash. Here we see an easy way to optimize our data structures in order to save space in memory at no cost of performance!
This time we have a look at how to leverage the true random we generated using a Mersenne Twister to generate a lot more random numbers.
Today we keep looking into how to generate random numbers in an embedded system by acquiring random information and having a look at how to merge the randomness of multiple sources into one.
Just started a series of videos explaining how to generate good random numbers in embedded systems without the need for a True Random Number Generator. In this first part, we have a look at how to qualify randomness and what makes good random.
I see more and more the for(;;) being used as an infinite loop, I was told it is a better way of doing an infinite loop but I am not sure why. We will see what is the difference between the two.