From dd49bd9e7fb6661c34afbeb5ac0aba80980dee61 Mon Sep 17 00:00:00 2001 From: Robbert van der Helm Date: Mon, 25 Jul 2022 15:56:30 +0200 Subject: [PATCH] Move knee scaling factor to a function --- plugins/spectral_compressor/src/compressor_bank.rs | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/plugins/spectral_compressor/src/compressor_bank.rs b/plugins/spectral_compressor/src/compressor_bank.rs index 68a0e407..dd37c695 100644 --- a/plugins/spectral_compressor/src/compressor_bank.rs +++ b/plugins/spectral_compressor/src/compressor_bank.rs @@ -601,11 +601,11 @@ impl CompressorBank { // bandwidths, the middle values needs to be pushed more towards the post-knee threshold // than with lower knee values. These scaling factors are used as exponents. let downwards_knee_scaling_factor = - ((params.compressors.downwards.knee_width_db.value * 2.0) + 2.0).log2() - 1.0; + compute_knee_scaling_factor(params.compressors.downwards.knee_width_db.value); // Note the square root here, since the curve needs to go the other way for the upwards - // version. + // version let upwards_knee_scaling_factor = - (((params.compressors.upwards.knee_width_db.value * 2.0) + 2.0).log2() - 1.0).sqrt(); + compute_knee_scaling_factor(params.compressors.upwards.knee_width_db.value).sqrt(); // Is this what they mean by zip and and ship it? let downwards_knees = self @@ -804,6 +804,13 @@ impl CompressorBank { } } +/// Get the knee scaling factor for converting a linear `[0, 1]` knee range into the correct curve +/// for the soft knee. This is used to blend between compression at the knee start to compression at +/// the actual threshold. For upwards compression this needs an additional square root. +fn compute_knee_scaling_factor(downwards_knee_width_db: f32) -> f32 { + ((downwards_knee_width_db * 2.0) + 2.0).log2() - 1.0 +} + /// Get the compression scaling factor for downwards compression with the supplied parameters. The /// input signal can be multiplied by this factor to get the compressed output signal. All /// parameters are linear gain values.