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.

Table des matières

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.

A propos de l'auteur

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.

Résumé

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

Détails du produit

• Auteurs: Brian McFee
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 16.10.2023
• EAN: 9781032207148
• ISBN: 978-1-0-3220714-8
• Pages: 259
• Catégories: Sciences humaines, art, musique > Art > Architecture d'intérieur, design; Sciences naturelles, médecine, informatique, technique > Technique > Electronique, électrotechnique, technique de l'information; 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, Technical design, Information technology: general issues, Automatic control engineering, COMPUTERS / Artificial Intelligence / General, Radio technology, Digital signal processing (DSP), Audio processing