Starting with the fundamentals of DSP methods and essential maths, this book represents a new angle of application-oriented DSP techniques in audio. MATLAB is included with downloads available on the CRC site. Mini projects provide an in-depth look by researchers, professionals and students.
Starting with the fundamentals of DSP methods and essential maths, this book represents a new angle of application-oriented DSP techniques in audio. MATLAB is included with downloads available on the CRC site. Mini projects provide an in-depth look by researchers, professionals and students.
Appointed Senior Lecturer at Manchester Metropolitan University in 2001, before joining the University of Salford in 2006, Francis Li has accumulated a broad spectrum of expertise and research interests, including audio engineering, architectural and building acoustics, signal processing, artificial intelligence, soft-computing, data and voice communications, machine audition, speech technology, DSP applied to biomedical engineering, novel computer architecture, and control theory. He has published numerous research papers, reviewed for international journals and conferences, and acts as both Associate Editor-in-Chief for the CSC Journal Signal Processing, and Associate Technical Editor for the Journal of Audio Engineering Society. Trevor J. Cox has been communicating acoustic engineering to the public for 15 years. Specialising in blind signal processing methods to model acoustics and assess human response to sounds, he has pioneered the concept of optimised diffusers and served as an acoustic expert for international standard organizations. He was a consultant for the world's largest manufacturer of diffusing products - RPG Diffusor Systems Inc. - for over 10 years, and acts as convener of ISO Working Group WG25.
Inhaltsangabe
Audio Signals and Audio Systems. Sampling Quantization and Discrete Fourier. DSP in Acoustical Transfer Function Measurements. Digital Filters and z-Transform. Audio Codecs. DSP in Binaural Hearing and Microphone Arrays. Adaptive Filters. Machine Learning in Acoustic DSP. Unsupervised Learning and Blind Source Separation. DSP in Hearing Aids.
Audio Signals and Audio Systems. Sampling Quantization and Discrete Fourier. DSP in Acoustical Transfer Function Measurements. Digital Filters and z-Transform. Audio Codecs. DSP in Binaural Hearing and Microphone Arrays. Adaptive Filters. Machine Learning in Acoustic DSP. Unsupervised Learning and Blind Source Separation. DSP in Hearing Aids.
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