Parallel Compression, a.k.a. NYCT
Last month, we looked at the differences between serial and parallel processing and applications for each. We examined the idea that, generally, serial processing is applied in situations where you want 100 percent of a signal to be processed, while parallel processing is applied in situations where you want to add an effect into the mix along with the original signal. We also examined why we typically use serial processing for dynamic effects but use parallel processing for time-based effects such as reverb and delay. Now let's take a closer look at compression in particular, and twist some of the rules.
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