Will‘s pick this week is Interpolation Utilities by Joe Henning.
As most of you are probably aware, interpolation is the task of estimating the value of a data set in between known data points. There are a variety of numeric methods for interpolation. Joe’s contribution is a handy repository of 37 of these methods. A few of them have built-in MATLAB functions nowadays. For example, an Akima function was added in R2019b. But there are many interpolation techniques that you will struggle to find elsewhere. You never know which one you’ll find the most suitable technique to fill in that missing data. Here are the results of a few different methods from the collection.
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