Tag Archives: Scientific computing

Announcement: ATKStereoUniversalDelay 1.0.0

I’m happy to announce the release of a stereo delay that allows ping-pong like effects based on the Audio Toolkit. They are available on Windows and OS X (min. 10.11) in different formats.

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Announcement: Audio TK 2.0.0

ATK is updated to 2.0.0 with a major refactoring to ensure signed/unsigned consistency, new Adaptive module and EQ design. Complex-valued filters are also now available to allow simultaneous dual channel processes and advanced filters like complex LMS filters.
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Audio Toolkit: Create a FIR Filter from a Template (EQ module)

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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Announcement: ATKChorus 1.1.0 and ATKUniversalVariableDelay 1.1.0

I’m happy to announce the update of the chorus and the universal variable delay based on the Audio Toolkit. They are available on Windows and OS X (min. 10.11) in different formats.

This release fixes the noises that can arise in some configuration.

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Audio Toolkit: Recursive Least Square Filter (Adaptive module)

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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Playing with a Bela (1.bis): Compile last Audio Toolkit on 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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Book review: Weapons Of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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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