SKU: 83137997051

Musway MG6.2C

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Description

Musway MG6.2CAnspruchsvolle Musikliebhaber entscheiden sich immer hufiger fr MUSWAY Produkte. Gerade die Verstrker, ob mit oder ohne integrierten DSP, sind fr hchste Ansprche hervorragend geeignet. Mit der neuen High End MG Lautsprecher schlgt MUSWAY nun ein weiteres Kapitel fr preisgekrnte Produkte auf, dieses Mal jedoch im Bereich Lautsprecher. Eins gleich vorweg: Das MG6. 3A wurde im Fachmagazin Car & Hifi 06 2021 auf Anhieb und mit Bravour zum BEST PRODUCT


Anspruchsvolle Musikliebhaber entscheiden sich immer häufiger für MUSWAY Produkte. Gerade die Verstärker, ob mit oder ohne integrierten DSP, sind für höchste Ansprüche hervorragend geeignet. Mit der neuen High End MG Lautsprecher schlägt MUSWAY nun ein weiteres Kapitel für preisgekrönte Produkte auf, dieses Mal jedoch im Bereich Lautsprecher. Eins gleich vorweg: Das MG6.3A wurde im Fachmagazin Car & Hifi 06/2021 auf Anhieb und mit Bravour zum „BEST PRODUCT“ gekürt. Besonders beeindruckt zeigte sich die Redaktion von den sensationell geringen Verzerrungen der Lautsprecher, die “zu den saubersten der letzten Jahre gehören“.

Schon der 16,5 cm Tiefmitteltöner ist eine Augenweide. Mit sehr schmalen Streben sorgt der hochwertige Alu-Korb für optimale Ventilierung hinter der Zentrierung. Eine bildschön abgedrehte und vernickelte T-Plate belüftet die Schwingspule zusätzlich durch mehrere Lüftungsöffnungen, wodurch eine Überhitzung fast ausgeschlossen ist. Somit kann der Türlautsprecher auch gerne mal hohe Pegel über einen längeren Zeitraum verzerrungsfrei wiedergeben. Der hohe Pegel wird unter anderem durch eine mit 13,4 mm langen Wickelhöhe der Schwingspule erreicht, die so eine große lineare Auslenkung der Membrane gewährleistet. Geschützt wird der überdurchschnittlich große, 13,7 Unzen schwere Magnetantrieb in Y30 Qualität durch einen Rubberboot.

Ein weiteres technische HIGHLIGHT ist die sehr aufwendig herzustellende Sandwich-Membran. In diesem Fall bedeutet dies, dass die obere Schicht aus ultra-dünnem Aluminium mit der darunter liegenden Ebene “verbunden“ ist, die wiederum aus leichtem Papier besteht. Hierdurch wird eine sehr effiziente Dämpfung erreicht. Das Ergebnis ist ein linearer Frequenzgang bis hoch zu 5000 Hz ohne Peaks.

Einer der wohl besten Hochtöner am Markt ist der MG6.2T. Mit einer 26 mm Seidenkalotte und Koppelvolumen bestückt kann der Tweeter nicht nur unterhalb 2000 Hz eingesetzt werden, er spielt sogar sehr linear bis über 25.000 Hz. Für die tolle Vorstellung ergatterte er im Test die äußerst seltene Note 1+ in der Disziplin “Verzerrungen“ (C&H 6/2021).

Äußerst edel kommt auch der kleine, sehr gut installierbare 7,5 cm Mitteltöner mit Neodym-Magnet und feststehendem Phase-Plug aus vollem Aluminium daher. Unglaublich: Er kann von 200 Hz bis über 18 kHz eingesetzt werden. Mit den Daten eignet er sich sogar als Breitbänder, der auch ohne Hochtöner gut funktioniert. Ein echtes Highlight.


Technische Daten: 

MG6.2W Tieftöner (Paar)

16,5 cm (6.5") Tiefmitteltöner

Belastbarkeit RMS 125 Watt

Belastbarkeit max. 250 Watt

Impedanz 4 Ohm

Frequenzgang 39 - 5000 Hz

Aluminium-Papier-Verbund-Membran

Einbautiefe 67 mm

Einbauöffnung Ø 143 mm

Außendurchmesser Ø 166 mm


MG6.2T Hochtöner (Paar)

26 mm (1.1“) Hochtöner

Belastbarkeit RMS 125 Watt

Belastbarkeit max. 250 Watt

Impedanz 4 Ohm

Frequenzgang 2200 - 30000 Hz

Gewebe-Membran

Einbautiefe 19,5 mm

Einbauöffnung Ø 44 mm

Außendurchmesser Ø 49 mm


MG2X Frequenzweiche (Paar)

2-Wege Frequenzweiche

Belastbarkeit RMS 125 Watt

Belastbarkeit max. 250 Watt

Trennfrequenz 2800 Hz

5-fach Hochtonpegelanpassung

Breite 85 mm

Höhe 40 mm

Länge 145 mm

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SKU: 83137997051

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4.8 ★★★★★
Based on 29 reviews
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Shannon
Chelsea, 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!!
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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
Grantham, 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.
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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
Dallas, 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.
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Reviewed in the United States on May 15, 2018

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