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001 978-4-431-54424-1
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008 150110s2015 ja | s |||| 0|eng d
020 _a9784431544241
_9978-4-431-54424-1
024 7 _a10.1007/978-4-431-54424-1
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aTohyama, Mikio.
_eauthor.
245 1 0 _aWaveform Analysis of Sound
_h[electronic resource] /
_cby Mikio Tohyama.
264 1 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2015.
300 _aXV, 229 p. 141 illus., 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematics for Industry,
_x2198-350X ;
_v3
505 0 _aIntroduction -- Discrete sequences and Fourier transform -- Temporal and spectral characteristics of discrete sequence -- Temporal and spectral enhancement by sound path -- Modulation and periodic properties of temporal envelope -- Transfer function of linear systems -- Sampling theorem and discrete Fourier transform -- Sinusoidal representation of sequence -- Modeling for zeros in complex time and frequency plane. .
520 _aWhat is this sound? What does that sound indicate? These are two questions frequently heard in daily conversation. Sound results from the vibrations of elastic media and in daily life provides informative signals of events happening in the surrounding environment. In interpreting auditory sensations, the human ear seems particularly good at extracting the signal signatures from sound waves. Although exploring auditory processing schemes may be beyond our capabilities, source signature analysis is a very attractive area in which signal-processing schemes can be developed using mathematical expressions. This book is inspired by such processing schemes and is oriented to signature analysis of waveforms. Most of the examples in the book are taken from data of sound and vibrations; however, the methods and theories are mostly formulated using mathematical expressions rather than by acoustical interpretation. This book might therefore be attractive and informative for scientists, engineers, researchers, and graduate students who are interested in the mathematical representation of signals and the applications of Fourier analysis. The book can be described as being practically self-contained but does assume readers are familiar with introductory topics in discrete signal processing, as in the discrete Fourier transform. Hence this book might be also usable as a textbook in graduate courses in applied mathematics on topics such as complex functions. Almost all scientific phenomena are sensed as waves propagating in some space. Over the years, waveform analysis has therefore been one of the resilient academic areas of study and still is seen as fertile ground for development. In particular, waveform analysis based on the theory of linear systems would be a good example where a physical interpretation can be given to the mathematical theory of complex functions in terms of magnitude, angle, poles, and zeros of complex functions. For readers who are interested in the physical aspects of sound and vibration data or elementary formulation of wave equations and their solutions, the book Sound and Signals by M. Tohyama (Springer 2011) is recommended. It can serve as a complementary companion to this present volume or independently as a good reference.
650 0 _aEngineering.
650 0 _aAcoustics.
650 0 _aAcoustical engineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aEngineering Acoustics.
650 2 4 _aAcoustics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9784431544234
830 0 _aMathematics for Industry,
_x2198-350X ;
_v3
856 4 0 _uhttp://dx.doi.org/10.1007/978-4-431-54424-1
912 _aZDB-2-ENG
942 _cEBK
999 _c58015
_d58015