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Applications of Digital Signal Processing to Audio and Acoustics

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Release : 2005-12-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 42X/5 ( reviews)

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Book Synopsis Applications of Digital Signal Processing to Audio and Acoustics by : Mark Kahrs

Download or read book Applications of Digital Signal Processing to Audio and Acoustics written by Mark Kahrs. This book was released on 2005-12-11. Available in PDF, EPUB and Kindle. Book excerpt: Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.

Digital Signal Processing in Audio and Acoustical Engineering

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Release : 2019-04-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 89X/5 ( reviews)

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Book Synopsis Digital Signal Processing in Audio and Acoustical Engineering by : Francis F. Li

Download or read book Digital Signal Processing in Audio and Acoustical Engineering written by Francis F. Li. This book was released on 2019-04-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A DSP Primer

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Author :
Release : 1996
Genre : Computer music
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis A DSP Primer by : Kenneth Steiglitz

Download or read book A DSP Primer written by Kenneth Steiglitz. This book was released on 1996. Available in PDF, EPUB and Kindle. Book excerpt: This new book by Ken Steigliz offers an informal and easy-to-understand introduction to digital signal processing, emphasizing digital audio and applications to computer music. A DSP Primer covers important topics such as phasors and tuning forks; the wave equation; sampling and quantizing; feedforward and feedback filters; comb and string filters; periodic sounds; transform methods; and filter design. Steiglitz uses an intuitive and qualitative approach to develop the mathematics critical to understanding DSP. A DSP Primer is written for a broad audience including: Students of DSP in Engineering and Computer Science courses. Composers of computer music and those who work with digital sound. WWW and Internet developers who work with multimedia. General readers interested in science that want an introduction to DSP. Features: Offers a simple and uncluttered step-by-step approach to DSP for first-time users, especially beginners in computer music. Designed to provide a working knowledge and understanding of frequency domain methods, including FFT and digital filtering. Contains thought-provoking questions and suggested experiments that help the reader to understand and apply DSP theory and techniques.

Digital Signal Processing Primer

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Release : 2020-11-18
Genre : Computers
Kind : eBook
Book Rating : 834/5 ( reviews)

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Book Synopsis Digital Signal Processing Primer by : Kenneth Steiglitz

Download or read book Digital Signal Processing Primer written by Kenneth Steiglitz. This book was released on 2020-11-18. Available in PDF, EPUB and Kindle. Book excerpt: Informal, easy-to-understand introduction covers phasors and tuning forks, wave equation, sampling and quantizing, feedforward and feedback filters, comb and string filters, periodic sounds, transform methods, and filter design. 1996 edition.

Applications of Digital Signal Processing

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Author :
Release : 1978
Genre : Technology & Engineering
Kind : eBook
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Book Synopsis Applications of Digital Signal Processing by : Alan V. Oppenheim

Download or read book Applications of Digital Signal Processing written by Alan V. Oppenheim. This book was released on 1978. Available in PDF, EPUB and Kindle. Book excerpt: Some applications of digital signal processing in telecommunications. Digital processing in audio signals. Digital processing of speech. Digital image processing. Applications of digital signal processing to radar. Sonar signal processing. Digital signal processing in geophysics.

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