Efficient Processing of Signals with Natural Redundancy

Nonfiction, Science & Nature, Technology, Telecommunications
Cover of the book Efficient Processing of Signals with Natural Redundancy by Irina S. Brainina, BookLocker.com, Inc.
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Author: Irina S. Brainina ISBN: 9781634929622
Publisher: BookLocker.com, Inc. Publication: March 30, 2018
Imprint: Language: English
Author: Irina S. Brainina
ISBN: 9781634929622
Publisher: BookLocker.com, Inc.
Publication: March 30, 2018
Imprint:
Language: English

This book offers new digital algorithms for processing audio and tonal signals having a high natural redundancy. The redundancy preserved in headers of compressed audio frames in MPEG-1 Layer 2 format.

Computer modeling proves an opportunity to detect and correct all catastrophic errors in three fields of a frame header. It was suggested that a Hamming error detection code with parity bits be used on the encoder end and transmitted over the existing low-speed channel to the decoder.

By correcting errors in frame headers one can significantly reduce requirements to the signal-to-noise ratio of satellite digital channels used for radio or TV audio broadcasting.

The proposed error correction algorithms are described in detail in the Appendix 1. The software package implementing those algorithms along with 12 compressed audio files that represent different types of content can be downloaded for free from Appendix 2.

The software allows simulating introducing, detection and correction of three types of catastrophic errors in the headers of compressed sound frames in MPEG-1 Layer-2 format. This book is addressed to researchers, practicing engineers and graduate students interested in adaptive digital processing of telecommunication signals with natural redundancy.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book offers new digital algorithms for processing audio and tonal signals having a high natural redundancy. The redundancy preserved in headers of compressed audio frames in MPEG-1 Layer 2 format.

Computer modeling proves an opportunity to detect and correct all catastrophic errors in three fields of a frame header. It was suggested that a Hamming error detection code with parity bits be used on the encoder end and transmitted over the existing low-speed channel to the decoder.

By correcting errors in frame headers one can significantly reduce requirements to the signal-to-noise ratio of satellite digital channels used for radio or TV audio broadcasting.

The proposed error correction algorithms are described in detail in the Appendix 1. The software package implementing those algorithms along with 12 compressed audio files that represent different types of content can be downloaded for free from Appendix 2.

The software allows simulating introducing, detection and correction of three types of catastrophic errors in the headers of compressed sound frames in MPEG-1 Layer-2 format. This book is addressed to researchers, practicing engineers and graduate students interested in adaptive digital processing of telecommunication signals with natural redundancy.

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