Waveform Analysis of Sound

ISBN-13: 9784431561583 / Angielski / Miękka / 2016 / 229 str.

Mikio Tohyama

Opis

This book serves as an ideal guide for engineers, researchers, and graduate students interested in signal analysis and its applications. Examples are taken from data on sound and vibration; however, the methods are universal and applicable to other areas.

Recenzje

"This book is a welcome addition to the literature on waveform analysis. The book is useful for not only students of acoustics but also the students involved in mathematical understanding of signals and the applications of Fourier analysis. The author recommends all readers to have an introductory background of basics of signal processing theory" (M.G. Prasad, Noise Control Engineering Journal, Vol. 65 (6), 2017)

"The book under review can serve as an additional reference in the area of sound signal processing. ... this book will be a welcome addition to the current scientific literature in the area of sound propagation." (Qian Zuwen, zbMATH 1345.76001, 2016)

"Waveform Analysis of Sound is intended for audiences with a background in mathematical signal analysis and Fourier transform/series application. It can be used by both researchers and graduate students. ... it is an interesting book for serious analysts." (Rajendra Singh, Noise Control Engineering Journal, Vol. 63 (6), November-December, 2015)

Spis treści

Introduction.- 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. 

Blurb

What 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.