ATK is updated to 2.2.0 with the major introduction of vectorized filters. This means that some filters (EQ for now) can use vectorization for maximum performance. More filters will be introduced later as well as the Python support. Vector lanes of size 4 and 8 are supported as well as instruction sets from SSE2 to AVX512.

This is also the first major release that officially supports the JUCE framework. This means that ATK can be added as modules (directly source code without requiring any binaries) in the Projucer. The caveat is that SIMD filters are not available in this configuration due to the requirement for CMake support to build the SIMD filters.

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I love reading books on signal processing, especially on audio signal processing. From books on using effects to a so-called reference, I still enjoy reading them, even if they are frustrating. The only one that was is DAFX: Digital Audio Effects, but I haven’t made a review of it!

This book came after reading a book on JUCE and starting using it myself. As it was using JUCE for its plugins, I thought it would be a good book.

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As some may know, I’ve switched from wdl-ol to JUCE 5 for my free plugins. In the past, I had to modify by hand all the projects created by the Projucer. And each time JUCE is updated, I need to add these changes to the generated project.

Not anymore.

On the develop branch, and in the next minor release ATK 2.1.2, modules for the Projucer will be available. This will enable an easier integration of ATK in your project, as you will “just” need to add these modules to the Projucer (and some additional include files to make ATK compliant with JUCE hierarchy).

There are currently 11 new modules (shameless comparison, that’s far more than the new DSP module, even if there are some filters than I’m missing, but feel free to propose a pull request with new features!).

See the explanation on the release branch and let me know what you think: https://github.com/mbrucher/AudioTK/tree/develop/modules/JUCE

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ATK is updated to 2.1.0 with a major refactoring of the Python wrappers and extensive testing of them. New filters were also added to support more complex pipelines (mute/solo and circular buffers for real-time spectrum displays) and Audio ToolKit provies now a CMake configuration file for easier integration in CMake projects.

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Recently, I’ve struggled with releasing perfect plugins. There were some glitches in the last 2 plugins that could have been avoided easily with more testing.

So this is a call for people who are interested in my plugins. You can join the mailing list, share your ideas of the current plugins, and the future ones, about what can be made better, how it can be better…

This review will actually be quite quick: I haven’t finished the book and I won’t finish it.

The book was published in August 2015 and is based on OpenGL < 3. The authors may sometimes say that you can use shaders to do better, but the fact is that if you want to execute the code they propose, you need to use the backward compatibility layer, if it's available. OpenGL was published almost a decade ago, I can't understand why in 2015 two guys decided that a new book on scientific visualization should use an API that was deprecated a long time ago. What a waste of time. [amazon_enhanced asin="1782169725" /][amazon_enhanced asin="B01FGMWRO8" /]