I’m happy to announce the release of a mono transient shaper based on the Audio Toolkit. They are available on Windows and OS X (min. 10.11) in different formats.
I’m currently considering whether I should do more posts on preamps modeling or just keep implementing filters/plugins. Of course, it’s not one or the other, there are different options in this poll:
So the idea is to ask my readers what they actually want. I can explain how the new triodes filters are implemented, how they behave, but I can also add new filters in Audio Toolkit (based on different preamp and amp stages, dedicated to guitars, bass, other instruments), try to optimize them, and finally I can include them in new plugins that could be used by users. Or I can do something completely different.
So if you have any ideas, feel free to say so!
ATK is updated to 1.3.0 with new features and optimizations.
Audio Toolkit shines when the pipeline is fixed (filter-wise and parameter-wise). But in DAWs, automated parameters are often used, and to avoid glitches, it’s interesting to additionally smooth parameters of the pipeline. So let’s see how this can be efficiently achieved.
I’m happy to announce the release of a mono autoswell based on the Audio Toolkit. They are available on Windows and OS X (min. 10.8) in different formats.
This plugin applies a ratio to the global gain of a signal once it is higher than a given threshold. This means that contrary to a compressor where the power of the signal will never go lower than the threshold, for AutoSwell, it can.
Update: It seems I have misunderstood the DK method, so instead I’m using a variation of the Nodal Analysis, so this can be understood as a state-space MNA method.
When analyzing a circuit form scratch, we need to replace all capacitors by an equivalent circuit and solve the equation with this modified circuit. Then, the equivalent currents need to be updated with the proper formula.
Let’s dive directly inside the second diode clipper and follow exactly the same pattern.
I work in an international company, and there are lots of people from different cultures around me, and with whom I need to interact. Out of the blue, it feels like it’s easy to work with all of them, I mean, how difficult could it be to work with them?
Actually, it’s easy, but sometimes interactions are intriguing and people do not react the way you expect them to react. And why is that? Lots of reasons, of course, but one of them is that they have a different culture and do not expect you to explicitly tell them what they did wrong (which is something I do. A lot).
Now that we have a few methods, let’s try to simulate them. For both circuits, I’ll use the forward Euler, then backward Euler and trapezoidal approximations, then I will show the results of changing the start estimate and then finish by the Newton Raphson optimization. I haven’t checked (yet?) algorithms that don’t use the derivative like the bisection or Brent algorithm.
All graphs are done with a x4 oversampling (although I also tried x8, x16 and x32).
Let’s start with the two equations we got from the last post and see what we can do with usual/academic tools to solve them (I will tackle nodal and ZDF tools later in this series).