NK Productions AEQ-115 Hybrid Diffusion@分立A类变压器均衡器建模(Win)

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简介:
AEQ-115混合扩散的NK产品v1.3.1,包括已修补和Keygen-R2R
团队R2R | 2026.10.09 | 40.48 MB
模拟均衡器建模插件——原创混合模拟建模系统
基于真实的模拟均衡器单元建模。每一个频率步进、饱和曲线以及谐波结构——均被捕捉并重建。
四种模拟建模模式
选择CPU负载和复制之间的平衡-从轻便的传统设计到跟随电路移动的建模。这两种混合模式可以交给GPU; 另外两个留在CPU上,原因是它们是如何工作的,而不是我们遗漏的任何东西。
标准
一种传统的设计,再现了硬件的静态特征,是迄今为止CPU上最轻的。它对在那一瞬间到达的水平做出响应,因此单位在每个级别上的行为方式都在那里-但不是它随时间变化的方式。
混合−/混合
真正的混合模拟建模系统。它不仅对现在到达的声音做出反应,还接收最近的信号,因此,它也回答了电路是如何被驱动的,这是静态模型无法坚持的。上面的一个可以进一步收听: 噪声性能和清晰度得到改善,而CPU成本则相对较高。由于DSP优化,混合实际上可以降低CPU使用率。
专业
又是一种不同的建模方法,对CPU的负载也最为沉重。它不是回顾一段固定的信号,而是保持刚刚发生的事情,并在它上面建立下一个时刻,这就是让它时刻保持最接近单位的原因。同样的习惯是为什么它留在CPU上。

简介:
NK Productions AEQ-115 Hybrid Diffusion v1.3.1 Incl Patched and Keygen-R2R
Team R2R | 2026.10.09 | 40.48 MB
Analog EQ Modeling Plugin — Original Hybrid Analog Modeling System
Modeled from a real analog EQ unit. Every frequency step, saturation curve, and harmonic structure — captured and rebuilt.
Four modes of analog modeling
Pick your balance between CPU load and reproduction — from a light, conventional design to modeling that follows the circuit as it moves. The two Hybrid modes can be handed to the GPU; the other two stay on the CPU, for reasons that come from how they work rather than anything we left out.
Standard
A conventional design that reproduces the hardware’s static character, and by far the lightest on CPU. It responds to the level arriving at that instant, so the way the unit behaves at each level is there — but not the way it changes over time.
Hybrid− / Hybrid+
The Hybrid Analog Modeling System proper. Rather than reacting only to the sound arriving right now, it takes in the recent signal as well, so it also answers to how the circuit was being driven a moment ago — something a static model cannot hold on to. The upper one listens back further: noise performance and clarity improve, at a moderately higher CPU cost. Thanks to DSP optimisation, Hybrid+ can actually bring CPU usage down.
Professional
A different modeling approach again, and the heaviest on CPU. Instead of looking back over a fixed stretch of signal, it keeps hold of what just happened and builds the next moment on top of it, which is what lets it stay closest to the unit moment by moment. That same habit is why it stays on the CPU.

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