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  2. Klassisk mekanik
  3. Bølgemekanik: vibration og akustik

Filter Banks and Audio Coding

- Compressing Audio Signals Using Python
Af: Gerald Schuller Engelsk Paperback

Filter Banks and Audio Coding

- Compressing Audio Signals Using Python
Af: Gerald Schuller Engelsk Paperback
Tjek vores konkurrenters priser

This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.

  • Comprehensively explains the fundamentals of filter banks and audio coding;
  • Provides Python examples for each principle so that completed audio coders are obtained in the language;
  • Includes a suite of classroom materials including exercises, experiments, and examples.

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Tjek vores konkurrenters priser
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This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.

  • Comprehensively explains the fundamentals of filter banks and audio coding;
  • Provides Python examples for each principle so that completed audio coders are obtained in the language;
  • Includes a suite of classroom materials including exercises, experiments, and examples.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 197
ISBN-13: 9783030512514
Indbinding: Paperback
Udgave:
ISBN-10: 3030512517
Kategori: Bølgemekanik: vibration og akustik
Udg. Dato: 25 sep 2021
Længde: 0mm
Bredde: 210mm
Højde: 279mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 25 sep 2021
Forfatter(e): Gerald Schuller
Forfatter(e) Gerald Schuller

Kategori Bølgemekanik: vibration og akustik

ISBN-13 9783030512514

Sprog Engelsk

Indbinding Paperback

Sider 197

Udgave

Længde 0mm

Bredde 210mm

Højde 279mm

Udg. Dato 25 sep 2021

Oplagsdato 25 sep 2021

Forlag Springer Nature Switzerland AG

Kategori sammenhænge