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Digital Signals Theory by Brian McFee
Digital Signals Theory by Brian McFee
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Digital Signals Theory

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Description

Where most introductory texts to the field of digital signal processing assume a degree of technical knowledge, this class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all. Beginning from the first principles, readers will learn how signals are acquired, represented, analyzed and transformed by digital computers. Specific attention is given to digital sampling, discrete Fourier analysis and linear filtering in the time and frequency domains. All concepts are introduced practically and theoretically, combining intuitive illustrations, mathematical derivations and software implementations written in the Python programming language. Practical exercises are included at the end of each chapter to test reader knowledge. Written in a clear and accessible style, Digital Signals Theory is particularly aimed at students and general readers interested in audio and digital signal processing, but who may not have extensive mathematical or engineering training.

Author Biography:

Brian McFee is Assistant Professor of Music Technology and Data Science at New York University. He develops machine learning tools to analyze music and multimedia data. This includes recommender systems, image and audio analysis, similarity learning, cross-modal feature integration, and automatic annotation.
Release date Australia
October 16th, 2023
Author
Audiences
  • Further/Higher Education
  • Tertiary Education (US: College)
Illustrations
132 Line drawings, color; 132 Illustrations, color
Pages
259
ISBN-13
9781032200507
Product ID
36832794

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Digital Signals Theory on Hardback by Brian McFee
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Digital Signals Theory
by Brian McFee ~ Hardback
Available - Usually ships in 3-4 weeks

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