bankstown-lv2

Crates.iobankstown-lv2
lib.rsbankstown-lv2
version1.1.0
sourcesrc
created_at2023-10-30 12:49:22.386477
updated_at2023-12-29 11:09:54.589312
descriptionA barebones, fast LV2 bass enhancement plugin
homepage
repositoryhttps://github.com/chadmed/bankstown
max_upload_size
id1018446
size17,258
James Calligeros (chadmed)

documentation

README

Bankstown: a barebones bass enhancer

Halfway-decent three-stage psychoacoustic bass approximation.

Theory

Speakers found in small devices have trouble reproducing bass and sub-bass faithfully. This is because they are power and space constrained, and cannot move the amount of air required to reproduce such low frequencies at audible volumes. Designers of modern devices get around this problem by taking advantage of the fact that humans are very easy to fool. We generate harmonics of bass and sub-bass frequencies to trick the human brain into thinking there is more bass than there really is.

The long version

Saturation of a discrete-time signal clamps the maximum and minimum value of any given sample. Consider a pure sine wave with a peak to peak amplitude of 3. We sample this function and are left with a series of discrete samples. We can apply a transfer function to this series which introduces nonlinearity about the peaks such that values above 2.6 are clamped to 2.0. We have "crushed" the peaks of our sine wave into something approximating a square wave.

Recall that any periodic function that is not a pure trigonometric function can be described as a Fourier series of pure trigonimetric functions. That is, any waveform can be broken down into a fundamental sine wave and its harmonics. Thus, the nonlinearities introduced by our saturation function create harmonics of our input signal.

The brain hears these harmonics and is able to infer the fundamental, thus tricking you into thinking there is "fuller" bass than there actually is.

This trick is common in virtually everything from Bluetooth earbuds to expensive active "compact" HiFi speakers, and is the reason they can sound as good as they do.

Commit count: 21

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