SKU: 35885595259

SonicGear Airphone DNC 3000 Digital Active Noise Cancellation Headsets

Sale price$274.05 Regular price$304.50
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Ships within 48 hours · Estimated delivery Jul 17 - Jul 22

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Description

SonicGear Airphone DNC 3000 Digital Active Noise Cancellation HeadsetsExperience Superior Sound with Advanced ANC Headphones Digital Active Noise Cancellation Technology that uses digital signal processing to actively reduce ambient noise in real time. This technology effectively reduces external noises such as street noise, the roar of train or plane engines, and office chatter. Great for Travelling Whether you're a jet setter or just taking the subway to work every day, a good pair of travel headphones can be a total

Experience Superior Sound with Advanced ANC Headphones

Digital Active Noise Cancellation

Technology that uses digital signal processing to actively reduce ambient noise in real time. This technology effectively reduces external noises such as street noise, the roar of train or plane engines, and office chatter.

Great for Travelling

Whether you're a jet setter or just taking the subway to work every day, a good pair of travel headphones can be a total game-changer. Comfortable design and excellent noise isolation make your journey easier and more enjoyable.

Collapsible Design

Lightweight and collapsible design makes these headphones easy to store and carry.

Bluetooth 5.4 Technology

Enjoy faster and easier connections, a stable signal, and low power consumption. Intelligently compatible with Android, iOS, and Windows operating systems.

Of Style and Comfort

Sleek design with multiple joints for maximum comfort. Free-moving earcups help prevent discomfort during long listening sessions.

Specifications

  • Bluetooth Version: V5.4
  • Driver Size: 40mm
  • Impedance: 32 Ohms
  • S.P.L: 96±3DB
  • Rated Power: 20MW × 2
  • Frequency Response: 20Hz – 20,000Hz
  • Wireless Operating Range: Up to 15m

Digital Active Noise Cancellation

  • Noise Reduction Frequency Range: 40Hz – 600Hz
  • Max. Noise Reduction Level: 20DB±3DB
  • Noise Reduction Central Frequency: 100Hz – 300Hz

Rechargeable Battery

  • Battery Capacity: 200mAh (Built-in)
  • Playback Time (DNC Off @ 50% Volume): Up to 27 hours
  • Playback Time (DNC On @ 50% Volume): Up to 16 hours
  • Standby Time: Approx. 100 hours
  • Charging Time: 2 hours

Microphone

  • Directivity: Omnidirectional
  • S.P.L: -38±3DB
  • Impedance: ?2.2K?
  • Frequency Response: 100Hz – 10,000Hz
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 35885595259

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4.6 ★★★★★
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Z
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Zay
Draper, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Lake Worth, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
C
Verified Purchase
Cory P.
Birmingham, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
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Frank Gonzalez
Dallas, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Chelsea, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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