An auto shown in high contrast – Source : Image
For this post, we are glad to have Thierry as a guest blogger. He talks about an optimisation example he recently encountered that is a good indirect example of ‘inlining‘.
As my first post here, I will first describe a standard “auto-contrast” method with some optimizing hints. I will then try a more powerful one, and hit a situation where the buit-in Matlab function (quantile) can be beaten by a simple Matlab script.
You’ve just finished writing your latest and greatest Matlab program. You’re sure this program will solve all the world’s (or at the very least all of your) problems. Just as you run your program, you see the dreaded red error text. Looks like it’s time to do some debugging! In this post, I’m going to take you through some of the common types of errors you will see when developing your software and how to solve those problems. Of course, when you’re first starting out in Matlab, these errors seem a bit cryptic and can take some time to solve. After just a bit of practice, though, you will soon be able to quickly spot and correct your errors.
Nerd of all countries, stand up! Source : Image
In this post, we talk about logical operations but also how to use your Matlab skills to analyze your shopping expenses (Yes, we are all absolute nerds and love it).
You will learn how to use logical operations to search large data matrix very quickly. If you have never used logical operators in Matlab, this is a MUST-READ! Continue reading
Confucius : Do not use a cannon to kill a mosquito – Source : Image
In this post, we talk about data types and extend on our previous post on the matter. You will learn how to convert between them but more importantly when and why you should consider such things.
As often, we delve into more advanced examples of data conversion that will be of interest to a large audience. Continue reading
Demystifying the ICA black box – Source : Image
This post has been on the back of my mind for quite some time, ever since I wrote about Principal Component Analysis. Independent Component Analysis or ICA is an algorithm to extract underlying structure hidden in multi-dimensional datasets. As for PCA, It is fairly ubiquitous (including in Neuroscience). However, as opposed to PCA, getting an intuitive understanding of ICA is much harder and many persons use it as a magic black box (no offense, I have been there too). I won’t provide comments on any code as fastICA is already freely available in Matlab. My hope here is to facilitate the understanding of what ICA is and how it works. Continue reading
While my goal here is to help you out with Matlab and other data analysis endeavors, I can’t cover the vast number of problem you may encounter. Still, I can provide you with a general approach that should help you to solve most problems. That is the goal of this post. I think everyone should be interested in this one, both the Matlab gurus and the beginners.
What’s the point in Matlab?
The point of this post is to talk about doing mathematics in Matlab. This is an extension of our previous post on Kickstarting Matlab. You will learn how to use all mathematical operators and get to understand your Matlab second best friend (after the profiler) : the point or dot operator. We also briefly talk a little bit about Matlab history. My only hope is that after this, you will get the point.