Information Theory Applied to Audio Signal Processing/Broadcasting

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SUMMARY

This discussion focuses on the application of Information Theory to audio signal processing and broadcasting. Key resources mentioned include Shannon's original paper on Information Theory and the book "Elements of Information Theory" by Thomas M. Cover and Joy A. Thomas. The conversation highlights the importance of entropy coding in this context, specifically noting that while Huffman coding is not utilized in audio compression, Rice coding is relevant for FLAC format encoding. Participants suggest exploring Wikipedia for foundational knowledge on Information Theory and its applications in audio processing.

PREREQUISITES
  • Understanding of Information Theory concepts, particularly entropy coding
  • Familiarity with audio signal processing techniques
  • Knowledge of FLAC format and its encoding methods
  • Basic comprehension of Shannon's theories on signal transmission
NEXT STEPS
  • Study "Elements of Information Theory" by Thomas M. Cover and Joy A. Thomas
  • Research entropy coding techniques, focusing on Rice coding
  • Explore the Wikipedia page on Information Theory for foundational concepts
  • Investigate audio compression methods and their relationship with Information Theory
USEFUL FOR

This discussion is beneficial for audio engineers, signal processing researchers, and students of Information Theory seeking to understand the intersection of these fields in audio applications.

kususe
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I'm looking for an appllication of Information Theory applied to processing/broadcasting of an audio signal, but i have no idea.
Do you know any books where i can look for this subject?
Thank you in advance.
 
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Here's Shannon's original paper:
http://cm.bell-labs.com/cm/ms/what/shannonday/shannon1948.pdf

The methodology was developed to characterize signals on transmission lines, so I suppose it could be applied to audio signals.

But I'm thinking you have something else in mind. Can you elucidate?
 
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When I wrote last message I did not have any idea.
But, lookinf for on books about audio signal processing i found an a grest part called (entropy coding). Entropy is in of the most important concept in information theory and so, I'm studing what this type of coding reale with.

Thanks for tour suggestions.
 
The bible of InfoTheory is:
Elements of Information Theory by Thomas M. Cover and Joy A. Thomas (2nd ed, Jul 18, 2006)
but I would suggest a wander through wikipedia "Information Theory" and its links for a start.

I'm not sure that entropy codes, like Huffman, are used in audio compression but you may find something of interest anyway.
 
You are right.
Huffman code is not used in audio coding.
But, Rice code belongs to that category like Huffman one, is used to obtain FLAC format after a particular use of a linear precition filter.
If you are interested, look at Wikipedia page about FLAC.
 

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