This entry is part 2 of 4 in the series Audio Toolkit algorithms

Last week, I published a post on adaptive filtering. It was long overdue, but I actually had one other project on hold for even longer: allowing a user to specify a filter template and let Audio Toolkit figure out a FIR filter from this template.

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This entry is part 1 of 4 in the series Audio Toolkit algorithms

I’ve started working on adaptive filtering a long time ago, but could never figure out why my simple implementation of the RLS algorithm failed. Well, there was a typo in the reference book!

Now that this is fixed, let’s see what this guy does.

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This entry is part 2 of 3 in the series Playing with a Bela

A few months ago, I started playing with the Bela board. At the time, I had issues compiling Audio ToolKit with clang. Since then and thanks to Travis-CI, I figured out what was going on. Unfortunately, the Beagle Board doesn’t have complete C++11 support, so I’ve added the remaining pieces, and you need also a new Boost.

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Big data is the current hype, the thing you need to do to find the best job in the world. I’ve started using machine learning tools a decade ago, and when I saw this book, it felt like it was answering some concerns I had. Let’s see what’s inside.

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