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000725213 020__ $$a9784431544241$$qelectronic book
000725213 020__ $$a4431544240$$qelectronic book
000725213 020__ $$z9784431544234
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000725213 0247_ $$a10.1007/978-4-431-54424-1$$2doi
000725213 035__ $$aSP(OCoLC)ocn900204334
000725213 035__ $$aSP(OCoLC)900204334
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000725213 08204 $$a621.38223$$223
000725213 1001_ $$aTohyama, M.$$q(Mikio),$$d1947-$$eauthor.
000725213 24510 $$aWaveform analysis of sound$$h[electronic resource] /$$cMikio Tohyama.
000725213 264_1 $$aTokyo :$$bSpringer,$$c2015.
000725213 300__ $$a1 online resource.
000725213 336__ $$atext$$btxt$$2rdacontent
000725213 337__ $$acomputer$$bc$$2rdamedia
000725213 338__ $$aonline resource$$bcr$$2rdacarrier
000725213 4901_ $$aMathematics for industry ;$$vvolume 3
000725213 504__ $$aIncludes bibliographical references and index.
000725213 5050_ $$aIntroduction -- Discrete sequences and Fourier transform -- Temporal and spectral characteristics of discrete sequence -- Temporal and spectral enhancement by sound path -- Modulation and periodic properties of temporal envelope -- Transfer function of linear systems -- Sampling theorem and discrete Fourier transform -- Sinusoidal representation of sequence -- Modeling for zeros in complex time and frequency plane.
000725213 506__ $$aAccess limited to authorized users.
000725213 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.
000725213 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 15, 2015).
000725213 650_0 $$aSignal theory (Telecommunication)
000725213 650_0 $$aSound-waves.
000725213 77608 $$iPrint version:$$z9784431544234
000725213 830_0 $$aMathematics for industry (Springer (Firm)) ;$$vvolume 3.
000725213 852__ $$bebk
000725213 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-4-431-54424-1$$zOnline Access$$91397441.1
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