(codename: in your phase)

Falasol 1.2 is out. After UI revolution finally there is time for new features to shine. And there is performance improvement as well :)

Side-by-side UI comparison (click for full sizes):

Falasol 1.1

Falasol 1.2

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As promised last week I’m going to compare three methods of optimizing 2 ^ x calculation:

• Cache table – described in my previous post
• Polynomial approximation – suggested by Gregory, implemented here celt_exp2(…) and described here
• Compact IEEE-754 – 3 lines of code(!) described here and here

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Signal processing often requires moving between logarithmic & linear domains. In audio area we can talk about Octaves (logarithmic representation) and Frequencies (linear representation). Octave -> Frequency conversion corresponds to transformation x = 2 ^ x.

Most programming languages provide support for such calculation, for example Pow(a, b) in C#.
Those functions however tend to be time consuming. We can take advantage of the fact that in our case a = const = 2 and optimize the calculation.
Let’s start with equation:

a ^ ( b + c ) = a ^ b * a ^ c

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Yes, it has been 1 year since first release of Falasol. Time to stop for a second and take a look around: where it all has begun, how far has it gone by now and – what’s most exciting – where it’s heading.

Audio Engineering – research & innovate

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(codename: Diesel Power)

Falasol’s engine has evolved!

This version introduces drastic performance optimization (both for speed & memory consumption). Those can be experienced especially on complex sounds (confirmed up to 3x faster sound generation with even more than 10x less memory on Shepard’s tone).

To bring some light on what has changed, let’s take a look at the Falasol’s architectural modules:

Falasol's modular architecture

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