Analog Realism Sphinx 101 v1.3.2 Patched+License Manager REV1 [MacOSX]

GUISEPPE | 11 July 2026 | 51 MB

一款产品，精益求精。Analoq
Realism 始终坚持精简产品线。每一款产品都经过精心设计，旨在经久耐用，而非昙花一现。今日推荐：Sphinx 101。Sphinx

101
主总线处理器。采用 TrueRail 技术，实现元件级精确模拟建模。三大核心电路——SLL、Nevy 和 Amok——配备十二种模拟建模机制，针对所建模调音台的谐波和动态特性进行调校。此外，还加入了已知的硬件电路——Pultey、Nevy、SLL、Amok 和 Maney——用于均衡器、滤波器和所有动态模块。

十二种机制，始终保持激活状态。———————————
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01

### 求和放大器有限带宽

真实的放大器并非完美无缺。我们建模的求和放大器在频率两端会进行滚降，从而增添了均衡曲线无法复制的温暖感——因为这不是均衡，而是物理定律。-

02

### 单个元件的制造公差

没有两个实际的电容器的电容值是精确的 100nF。 Sphinx 中的每个组件都具有在实际规格范围内的随机公差（电阻器 ±1%，电容 ±5%，晶体管增益 ±10%）。左右声道通过略微不同的电路进行处理——这是使用数学上完美的组件无法实现的自然立体声深度。-

03

### 热漂移

三个独立的慢速振荡会随时间调制电路参数。声音会呼吸——永远不会完全静止，就像已经通电一小时的硬件一样。每个组件的值调制很小，但在整个链路中都能听到明显的变化。-

04

### 电源轨电压下降

当压缩器强力钳位时，它会从共享电源汲取电流。电源轨电压下降，影响其他每个级的动态余量和饱和点。这是使模拟总线压缩器感觉协调一致的“粘合剂”。每个模块都会汲取电流并读取电源轨电压以调整自身的工作点——一个双向环路，就像真实的硬件一样。-

05

### 通道间串扰

真实的硬件共享机箱、电源和电路板。左右声道之间的信号泄漏——频率相关，低频更强。Sphinx 对这种耦合进行建模，从而创造出单声道叠加处理无法实现的“宽广而连贯”的立体声像。-

06

### 变压器铁芯磁滞

输入变压器采用 Jiles-Atherton 磁模型——与电气工程中用于模拟实际铁芯的数学模型相同。它会记住最近的磁化历史，产生非对称的、与节目相关的饱和，这是任何静态波形整形器都无法复制的。每个铁芯的谐波平衡都经过调整，以匹配所建模单元的已公布电气测量数据。-

07

### 谐波链累积

每个电路级都会引入其​​独特的微弱谐波特征。音频信号经过驱动级、变压器、压缩器、均衡器和输出变压器后，这些谐波会不断累积，并以该特定电路链特有的方式相互作用。实测结果：H2 至 H7 均存在，但其比例取决于电路。-

08 ###

A 类分频器非线性

驱动级模拟了真实放大器拓扑结构中轻微的分频失真。SLL（BJT）产生干净的奇次谐波。Amok（电子管）产生丰富的偶次谐波，H2/H3 比值超过 5:1。这正是定义每个电路特性的“温暖”和“临场感”。-

09

### 串扰频率整形

左右声道耦合并非平坦，而是在某些频率下更强，这与真实的 PCB 走线耦合特性一致。这会产生频率相关的立体声相互作用，从而造就模拟调音台闻名的三维成像效果。

– 10

### 压缩器程序依赖性

压缩器的行为会根据其运行状态而变化。一台 Vari-Mu 真空管压缩器在高负荷运行时，其增益衰减曲线与一台处于空闲状态的压缩器截然不同。鼓循环的第 8 拍产生的压缩效果与第 1 拍明显不同。实测结果：高达 82% 的程序依赖性变化。-

11

### 变压器记忆

磁芯的饱和曲线取决于近期的信号历史。一个响亮的低音音符会改变磁工作点，从而影响变压器对下一个瞬态信号的处理方式。这种“记忆”赋予了真实变压器鲜活灵动的特性，使其区别于静态饱和曲线。-

12

### 模块间相位相互作用

每个模块都会引入频率相关的相移。这些相移会在整个信号链中相互作用，在模块边界处产生微妙的相长干涉和相消干涉。正是这种相互作用赋予了真实模拟信号链特有的“深度”——一种数字处理难以企及的从前到后的维度感。

One product, built without compromise.
Analog Realism keeps a deliberately small catalogue. Each release is engineered to be useful for years, not seasons. Today: Sphinx 101.

Sphinx 101
Master bus processor. Component-accurate analog modeling with TrueRail Technology. Three main circuits – SLL, Nevy, Amok – with twelve analog modeling mechanisms tuned to the harmonic and dynamic signatures of the modeled console classes. Added with known hardware circuits – Pultey, Nevy, SLL, Amok and Maney – for EQ, Filter and all Dynamic Modules.

Twelve mechanisms. Always active.
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– 01

### Summing amplifier finite bandwidth

Real amplifiers aren’t perfect. Our modeled summing amp rolls off at the frequency extremes, adding warmth that no EQ curve can replicate – because it’s not EQ, it’s physics.

– 02

### Per-component manufacturing tolerance

No two real capacitors are exactly 100nF. Every component in Sphinx has randomized tolerance within real specs (±1% resistors, ±5% caps, ±10% transistor gain). Your left and right channels process through slightly different circuits – natural stereo depth impossible with mathematically perfect components.

– 03

### Thermal drift

Three independent slow oscillations modulate circuit parameters over time. The sound breathes – never quite static, just like hardware that’s been powered on for an hour. Per-component value modulation is small but audibly active across the chain.

– 04

### Power supply rail sag

When the compressor clamps hard, it draws current from the shared supply. The rail voltage dips, affecting every other stage’s headroom and saturation point. This is the “glue” that makes analog bus compressors feel cohesive. Every module pulls current AND reads the rail back to adjust its own operating point – a two-way loop, just like real hardware.

– 05

### Cross-channel crosstalk

Real hardware shares a chassis, a power supply, a circuit board. Signal leaks between L and R – frequency-dependent, stronger in the lows. Sphinx models this coupling, creating a “wide but cohesive” stereo image that mono-summed processing can’t achieve.

– 06

### Transformer core hysteresis

The input transformer uses a Jiles-Atherton magnetic model – the same math used in electrical engineering to model real cores. It remembers its recent magnetization history, producing asymmetric, program-dependent saturation that no static waveshaper can replicate. Each core’s harmonic balance is tuned to match published electrical measurements of the modeled unit.

– 07

### Harmonic chain accumulation

Each stage adds its own tiny harmonic signature. By the time audio passes through drive stage, transformer, compressor, EQ, and output transformer, these harmonics have accumulated and interacted in ways unique to this specific chain. Measured: H2 through H7 all present with circuit-dependent ratios.

– 08

### Class-A crossover nonlinearity

The drive stage models the slight crossover distortion of real amplifier topologies. SLL (BJT) produces clean odd-order harmonics. Amok (tube) produces rich even-order harmonics with H2/H3 ratio exceeding 5:1. This is the “warmth” and “presence” that defines each circuit’s character.

– 09

### Crosstalk frequency shaping

The L/R coupling isn’t flat – it’s stronger at certain frequencies, consistent with how real PCB-trace coupling behaves. This creates frequency-dependent stereo interaction that contributes to the three-dimensional imaging analog consoles are known for.

– 10

### Compressor program dependence

The compressor’s behavior changes based on what it’s been doing. A Vari-Mu tube compressor working hard has a different gain reduction curve than one that’s been idling. Beat 8 of a drum loop produces measurably different compression than beat 1. Measured: up to 82% program-dependent variation.

– 11

### Transformer memory

The core’s saturation curve depends on recent signal history. A loud bass note changes the magnetic operating point, affecting how the transformer handles the next transient. This “memory” creates the living, breathing quality that separates real transformers from static saturation curves.

– 12

### Inter-module phase interaction

Each module introduces frequency-dependent phase shifts. These interact across the chain, creating subtle constructive and destructive interference at module boundaries. This is what gives real analog chains their characteristic “depth” – the sense of front-to-back dimension that digital processing rarely achieves.

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