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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Guessing Random Additive Noise Decoding: A Hardware Perspective

Guessing Random Additive Noise Decoding: A Hardware Perspective

Abbas, Syed Mohsin
Jalaleddine, Marwan
Gross, Warren J.

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 3031316622
ISBN13: 9783031316623
Publisher: Springer
Published: Aug 18 2023
Pages: 151
Weight: 1.45
Height: 0.63 Width: 8.19 Depth: 11.02
Language: English
This book gives a detailed overview of a universal Maximum Likelihood (ML) decoding technique, known as Guessing Random Additive Noise Decoding (GRAND), has been introduced for short-length and high-rate linear block codes. The interest in short channel codes and the corresponding ML decoding algorithms has recently been reignited in both industry and academia due to emergence of applications with strict reliability and ultra-low latency requirements . A few of these applications include Machine-to-Machine (M2M) communication, augmented and virtual Reality, Intelligent Transportation Systems (ITS), the Internet of Things (IoTs), and Ultra-Reliable and Low Latency Communications (URLLC), which is an important use case for the 5G-NR standard.

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