Hi guys,
I regard the naive implementation where some analysis filter (here, lowpass) is used to shape the detector signal, which is used to control the gain of some shelf (here, lowshelf) in the usual way, leading to one filter calculation per sample, as way too much effort, especially if you want to make a system for a lot of channels. This is true when comparing the effort to a normal EQ which might require one BIQUAD filter recalculation every 1-10ms.
Is there any well-known efficient implementation of a dynamic EQ?
For example, for the positive part of the peak filter, one can construct the filter using two terms where the gain controls the amplitude of one term. In this case you don't have to calculate any filter per sample at all.
But for the negative part it seems impossible, also for other filter types like shelfs.
Am I wrong? In this regard, filter banks for multiband compressors seem much more CPU friendly, but not an expert opinion.
I regard the naive implementation where some analysis filter (here, lowpass) is used to shape the detector signal, which is used to control the gain of some shelf (here, lowshelf) in the usual way, leading to one filter calculation per sample, as way too much effort, especially if you want to make a system for a lot of channels. This is true when comparing the effort to a normal EQ which might require one BIQUAD filter recalculation every 1-10ms.
Is there any well-known efficient implementation of a dynamic EQ?
For example, for the positive part of the peak filter, one can construct the filter using two terms where the gain controls the amplitude of one term. In this case you don't have to calculate any filter per sample at all.
But for the negative part it seems impossible, also for other filter types like shelfs.
Am I wrong? In this regard, filter banks for multiband compressors seem much more CPU friendly, but not an expert opinion.
Statistics: Posted by synthpark — Fri Nov 08, 2024 9:25 am — Replies 0 — Views 36