國立高雄大學圖資館 |

Language: English

Back

Digital signal processing in audio a...

Cox, Trevor J.

Digital signal processing in audio and acoustical engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital signal processing in audio and acoustical engineeringFrancis F. Li and Trevor J. Cox.
Author:	Li, Francis F.
other author:	Cox, Trevor J.
Published:	Boca Raton :CRC Press,c2019.
Description:	1 online resource.
Subject:	SoundRecording and reproducing
Online resource:	https://www.taylorfrancis.com/books/9781315117881
ISBN:	9781315117881$q(e-book)

Digital signal processing in audio and acoustical engineering
Li, Francis F.

Digital signal processing in audio and acoustical engineering[electronic resource] /Francis F. Li and Trevor J. Cox. - 1st ed. - Boca Raton :CRC Press,c2019. - 1 online resource.

Acoustic signals and audio systems -- Sampling quantization and discrete fourier -- DSP in acoustical transfer function measurements -- Digital filter 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.

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.

ISBN: 9781315117881$q(e-book)Subjects--Topical Terms:

182344
Sound
--Recording and reproducing

LC Class. No.: TK7881.4

Dewey Class. No.: 621.382/2

Digital signal processing in audio and acoustical engineering
LDR:02542cmm a2200337 a 4500 001 605930
003 FlBoTFG
005 20190426110654.0
006 m o d
007 cr cnu---unuuu
008 211203s2019 flu o 000 0 eng d
020 $a 9781315117881$q(e-book)
020 $a 1315117886$q(e-book)
020 $a 9781466593893$q(e-book ;$qePDF)
020 $a 146659389X$q(e-book ;$qePDF)
020 $a 9781351644150$q(electronic bk.)
020 $a 1351644157$q(electronic bk.)
020 $a 9781351634663$q(e-book ;$qMobipocket)
020 $a 1351634666$q(e-book ;$qMobipocket)
020 $z 9781466593886$q(hbk.)
035 $a 9781315117881
040 $a OCoLC-P $b eng $c OCoLC-P
050 1 0 $a TK7881.4
082 0 0 $a 621.382/2 $2 23
100 1 $a Li, Francis F. $3 902455
245 1 0 $a Digital signal processing in audio and acoustical engineering $h [electronic resource] / $c Francis F. Li and Trevor J. Cox.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press, $c c2019.
300 $a 1 online resource.
505 0 $a Acoustic signals and audio systems -- Sampling quantization and discrete fourier -- DSP in acoustical transfer function measurements -- Digital filter 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.
520 $a 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.
588 $a Description based on print version record.
650 0 $a Sound $x Recording and reproducing $x Digital techniques. $3 182344
650 0 $a Signal processing $x Digital techniques. $3 182126
700 1 $a Cox, Trevor J. $3 483436
856 4 0 $u https://www.taylorfrancis.com/books/9781315117881