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Filter Banks and Audio Coding

Compressing Audio Signals Using Python

Parametry

  • 212 stránek
  • 8 hodin čtení

Více o knize

Focusing on audio coding fundamentals, this textbook integrates Python programming to illustrate principles and facilitate experiments. It begins with essential digital signal processing concepts, progressing to filter banks and their design methods. The author introduces psycho-acoustic models and guides readers in their implementation. Additionally, specialized components such as the Integer-to-Integer MDCT filter bank and predictive coding techniques for lossless and low-delay coding are covered, with practical Python examples throughout.

Vydání

Nákup knihy

Filter Banks and Audio Coding, Gerald Schuller

Jazyk
Rok vydání
2020
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Podtitul
Compressing Audio Signals Using Python
Jazyk
anglicky
Rok vydání
2020
Vazba
pevná
Počet stran
212
ISBN13
9783030512484
Série
Anotace
Focusing on audio coding fundamentals, this textbook integrates Python programming to illustrate principles and facilitate experiments. It begins with essential digital signal processing concepts, progressing to filter banks and their design methods. The author introduces psycho-acoustic models and guides readers in their implementation. Additionally, specialized components such as the Integer-to-Integer MDCT filter bank and predictive coding techniques for lossless and low-delay coding are covered, with practical Python examples throughout.