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Efficient Processing of Signals with Natural Redundancy by Irina S. Brainina

Efficient Processing of Signals with Natural Redundancy

by Irina S. Brainina

264 pages
This book offers new effective 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.

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About the Book
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.

 

 

About the Author
Irina S. Brainina, Doctor of Technical Sciences, Professor of the Department of Theoretical Radio Engineering, Povolzhsky State University of Telecommunications and Informatics, Samara city, former city Kuibyshev. After graduating the Electrotechnical Institute of Communications she entered the postgraduate course of the Leningrad Electrotechnical Institute of Communications. In 1969 she defended her thesis and obtained the degree of Candidate of Technical Sciences. In 2006 she defended her doctoral dissertation, was awarded the scientific degree of Doctor of Technical Sciences. She is the author of three monographs, one of which was published in Russia and two in the United States. She published more than 30 scientific articles and received more than 50 patents for inventions. Areas of academic interest are: applied analysis of emissions of random processes, of interference-resistant digital signal processing using their natural redundancy.

 

 

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