SKU: 59146009473

QSC PLX1602 1600w Power 2-Channel Power Amp (Used)

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Description

QSC PLX1602 1600w Power 2-Channel Power Amp (Used)This unit is in good condition with some cosmetic wear. It has been fully tested and is 100% working as it should. The hardwired power cable is in good condition as well with no fraying. From QSC A line of amplifiers that defines high impact. Up to 3,400 watts in a 2 rack unit chassis that's only 13 in. deep and 21 lbs. It includes the exclusive PowerWave Technology used in the award winning PowerLight Series for chest pounding bass and crystal clear

This unit is in good condition with some cosmetic wear. It has been fully tested and is 100% working as it should. The hardwired power cable is in good condition as well with no fraying.

 

From QSC

A line of amplifiers that defines high impact. Up to 3,400 watts in a 2 rack-unit chassis that's only 13 in. deep and 21 lbs. It includes the exclusive PowerWave Technology used in the award-winning PowerLight Series for chest-pounding bass and crystal-clear highs. It also features hum-free noise floor and ultra-low distortion of .03% THD. To keep the PLX Series running under the most demanding conditions, the Advanced Thermal Management System has been added.

PLX offers the reliability of a company that's been building professional amplifiers for over 30 years. With PowerWave technology, the PLX Series takes your music to a whole new level. Not only does it deliver bigger bass and cleaner highs, PowerWave also cuts wasted heat and boosts reliability. PowerWave is a switching power supply that provides ample current to the audio power circuitry by charging the supply rails 230,000 times a second through and ultra-low impedance circuit. So unlike other amps with conventional supplies, the audio signal is never starved prematurely and remains crisp and clean. It virtually eliminates hum and greatly reduces noise, providing a vast dynamic range that can handle any music without running out of headroom.

The Advanced Thermal Management system ensures the amps run cool and are reliable even under harsh conditions. Using a high-output variable speed fan, ATM pulls cool air from the rear of the amp and propels it through a heat shroud precision-fitted to flow air over the heat sinks and out of the amplifier.

  • Watts Stereo Mode (both channels driven)
    8 ohms 20 Hz-20 kHz 0.03% THD 300W
    4 ohms 20 Hz-20 kHz 0.05% THD 500W
    2 ohms 1 kHz 1% THD 800W

  • Watts Bridge Mono Mode
    16 ohms 20 Hz-20 kHz 0.01% THD:600W
    8 ohms 20 Hz-20 kHz 0.01% THD:1100W
    4 ohms 1 kHz 1% THD:1600W

  • Noise (20 Hz-20 kHz): <-1.7 dB
  • Input Sensitivity @ 8 ohms: 1.2 Vrms
  • Input Sensitivity @ 4 ohms: 1.1 Vrms
  • Output Circuitry: AB
  • Power Requirements (1/8 power pink noise @ 4ohms): 10A
  • Distortion (SMPTE-IM) Less than 0.01%
  • Distortion (typical) 20 Hz-20 KHz (10 dB below rated power 1.0 kHz and below full rated power: Less than 0.01% THD
  • Frequency Response: 20 Hz-20 kHz, � 0.2 dB/8 Hz-50 kHz, +0, -3 dB
  • Damping Factor: greater than 500
  • Input Impedance: 6 K ohms unbalanced, 12 K ohms balanced
  • Input Clipping: 10 Vrms (+22dB)
  • Cooling: Variable-speed fan, rear-to-front air flow
  • Connectors: (each channel) Input: 3-pin XLR and 1/4 in. TRS balanced
  • Output: Neutrik Speakon and touch-proof binding posts
  • Amplifier Protection: Full short circuit, open circuit, thermal, ultrasonic, and protection.
    Stable into reactive or mismatched loads.
    Load Protection On/off muting, DC-fault power supply shutdown
  • Dimensions: 19 in. 48.3cm) rack mounting, 3.5 in. (8.9 cm) tall (2 rack spaces), 13.25 in. (33.7 cm) deep (from front mounting rails)
  • Gain: 40x (32 dB)
  • Weight: 21 lbs. (9.5 kg) net
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SKU: 59146009473

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4.2 ★★★★★
Based on 7 reviews
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Shannon
Lowell, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Lake Worth, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Lake Worth, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Port Orchard, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Pawtucket, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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