PDF Digital Signal Processing in Audio and Acoustical Engineering - Francis F. Li, Trevor J. Cox

243 pages

ABSTRACT

Starting with essential maths, fundamentals of signals and systems, and classical concepts of DSP, this book presents, from an application-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include but are not limited to room acoustic parameter measurements, filter design, codecs, machine learning for audio pattern recognition and machine audition, spatial audio, array technologies and hearing aids. Some research outcomes are fed into book as worked examples. As a research informed text, the book attempts to present DSP and machine learning from a new and more relevant angle to acousticians and audio engineers.

Some MATLAB® codes or frameworks of algorithms are given as downloads available on the CRC Press website. Suggested exploration and mini project ideas are given for "proof of concept" type of exercises and directions for further study and investigation. The book is intended for researchers, professionals, and senior year students in the field of audio acoustics.

TABLE OF CONTENTS
chapter 1|20 pages
Acoustic Signals and Audio Systems
Title
chapter 2|22 pages
Sampling Quantization and Discrete Fourier
Title
chapter 3|12 pages
DSP in Acoustical Transfer Function Measurements
Title
chapter 4|26 pages
Digital Filters and z-Transform
Title
chapter 5|18 pages
Audio Codecs
Title
chapter 6|16 pages
DSP in Binaural Hearing and Microphone Arrays
Title
chapter 7|26 pages
Adaptive Filters
Title
chapter 8|46 pages
Machine Learning in Acoustic DSP
Title
chapter 9|14 pages
Unsupervised Learning and Blind Source Separation
Title
chapter 10|20 pages
DSP in Hearing Aids
Title