SKU: 2637342934

Subdecay Quasar DLX Deluxe Phaser

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Description

Subdecay Quasar DLX Deluxe PhaserThey say: Tap tempo phaser with 8 ratio settings for easy set up live. Dual action speed control in manual mode. Turn the speed knob all the way up and then back for faster speeds in to the audio range. 11 LFO shapes make phasing go from classic to discombobulated with endless possibilities. Expression pedal input lets you control modulation speed, or manually control the phaser sweep like a wah pedal. External volume control to balance level when the

They say:

  • Tap tempo phaser with 8 ratio settings for easy set up live.
  • Dual action speed control in manual mode. Turn the speed knob all the way up and then back for faster speeds in to the audio range.
  • 11 LFO shapes make phasing go from classic to discombobulated with endless possibilities.
  • Expression pedal input lets you control modulation speed, or manually control the phaser sweep like a wah pedal.
  • External volume control to balance level when the effect is on.

Return of the Phase

The Quasar DLX is back in black. The original LFO waveforms return, with improvements in the phaser’s tone and usability.

Like many classic designs the heart of the Quasar DLX mkII is an analog 4 stage OTA based phaser. This phaser is made special by the features and functionality possible only with digital control. Eleven LFO shapes ranging from the tried and true sine and triangle waves to random sample/hold and even an argyle waveform. (Yes you read that right! Argyle!)

A phaser to control the world!

Control the LFO speed in three different ways. You can control the modulation speed by tap tempo, or hold down the tap switch for manual control and engage the DUAL ACTION SPEED KNOB. (Watch the demo to learn about the D.A.S.K.)  The speed ranges from a 45 second sweep up into ring modulation territory at nearly 300hz.

An expression pedal can also control the speed, or manually sweep the phaser like a wah.

Turning the color knob to the right increases the intensity of the phasing. When turned fully to the right it starts to sound similar to an early 80s Roland style Low pass filter. The color knob can have a dramatic effect on the output volume. Luckily there’s a volume knob too!

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SKU: 2637342934

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RAKESH MITTAL
Cuba, US
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Good coverage of the subject.
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Ting
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Not worth your time!
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The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Sai
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Pages were torn
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Kirk D. Borne
Chelsea, US
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Conquer AI Agent complexity with this comprehensive guidebook
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This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Amazon Customer
San Leandro, US
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good book for beginners in Python and in simulation
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Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
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Reviewed in the United States on January 2, 2026

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