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Filter Banks and Audio Coding

Compressing Audio Signals Using Python

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  • 212pages
  • 8 heures de lecture

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Focusing on audio coding fundamentals, this textbook offers a comprehensive introduction to compressing audio and music signals through practical Python programs. It begins with essential digital signal processing concepts, advancing to filter banks and their design methods. The text explores psycho-acoustic models, detailing their design and implementation. Additionally, it covers specialized coding components, including the Integer-to-Integer MDCT filter bank and predictive coding techniques. Each section is accompanied by Python examples to enhance understanding and experimentation.

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Filter Banks and Audio Coding, Gerald Schuller

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Année de publication
2021
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Titre
Filter Banks and Audio Coding
Sous-titre
Compressing Audio Signals Using Python
Langue
Anglais
Format
souple
Pages
212
ISBN13
9783030512514
Séries
Description
Focusing on audio coding fundamentals, this textbook offers a comprehensive introduction to compressing audio and music signals through practical Python programs. It begins with essential digital signal processing concepts, advancing to filter banks and their design methods. The text explores psycho-acoustic models, detailing their design and implementation. Additionally, it covers specialized coding components, including the Integer-to-Integer MDCT filter bank and predictive coding techniques. Each section is accompanied by Python examples to enhance understanding and experimentation.