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Digital Audio Processing Fundamentals 2022 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 716 pages, height x width: 235x155 mm, weight: 1104 g, 413 Illustrations, color; 120 Illustrations, black and white; XVI, 716 p. 533 illus., 413 illus. in color., 1 Paperback / softback
  • Sērija : Springer Topics in Signal Processing 21
  • Izdošanas datums: 03-Feb-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031142306
  • ISBN-13: 9783031142307
  • Mīkstie vāki
  • Cena: 82,61 €*
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  • Standarta cena: 97,19 €
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  • Formāts: Paperback / softback, 716 pages, height x width: 235x155 mm, weight: 1104 g, 413 Illustrations, color; 120 Illustrations, black and white; XVI, 716 p. 533 illus., 413 illus. in color., 1 Paperback / softback
  • Sērija : Springer Topics in Signal Processing 21
  • Izdošanas datums: 03-Feb-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031142306
  • ISBN-13: 9783031142307

The book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling.

Foundations of Acoustics.- Discrete-Time Signals, Circuits and System
Fundamentals.- Digital Filters for Audio Applications.- Multi-Rate Audio
Processing and Wavelet Transform.- Special Transfer Functions for
DASP.- Circuits and Algorithms for Physical Modeling.- Digital Audio
Effects.- Sound Synthesis.- Physical Modeling.
Aurelio Uncini is full Professor at Sapienza University of Rome, Italy, teaching Digital Audio Signal Processing, Machine Learning, Neural Networks. He is the director of the laboratory of Intelligent Signal Processing and Multimedia (ISPAMM) and co-founder of Cyber Intelligence and Information Security (CIS) research center at Sapienza University of Rome.