Digital Signals Theory

This class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all.

List of contents

Signals. Digital Sampling. Convolution. The Discrete Fourier Transform. Properties of the DFT. DFT Invertibility. Fast Fourier Transform. Time Frequency Representation. Frequency Domain Convolution. Infinite Impulse Response Filters. Analyzing IIR filters. Appendix.

About the author

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.

Summary

This class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all.

Product details

• Authors: Brian McFee
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 16.10.2023
• EAN: 9781032207148
• ISBN: 978-1-0-3220714-8
• No. of pages: 259
• Subjects: Humanities, art, music > Art > Interior design, design; Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Artificial Intelligence, COMPUTERS / Speech & Audio Processing, COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Signals & Signal Processing, TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Radio, Electrical Engineering, environmental science, engineering & technology, Artificial Intelligence (AI), Technical design, Information technology: general issues, Automatic control engineering, COMPUTERS / Artificial Intelligence / General, Radio technology, Digital signal processing (DSP), Audio processing