Fundamentals of Acoustic Signal Processing

Author:   Mikio Tohyama (NTT Human Interface Laboratories) ,  Tsunehiko Koike (NTT Advances Technology Corporation)
Publisher:   Elsevier Science & Technology
ISBN:  

9781493302055


Pages:   321
Publication Date:   16 June 1998
Format:   Paperback
Availability:   Available To Order   Availability explained
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Fundamentals of Acoustic Signal Processing


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Overview

Fundamentals of Acoustic Signal Processing serves as an introduction to the previously published book The Nature and Technology of Acoustic Space. As a comprehensive, introductory text to modern acousticsand signal processing, it will be invaluable to students, researchers, and practitioners in industry.The book provides the fundamentals of acoustic wave theories as well as discrete signal processing. The authors have concentrated on the fundamental issues which they use in lecture courses, seminars, research, and development activities. From wave equations to discrete signal analysis, the treatment is self-contained with numerous helpful illustrations and examples. The relationship between continuous and discrete sampled data is clearly interpreted, and the origin of the sample data is readily comprehensible. Both students and engineers can reorganize their fundamental knowledge about signal processing.

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Author:   Mikio Tohyama (NTT Human Interface Laboratories) ,  Tsunehiko Koike (NTT Advances Technology Corporation)
Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
ISBN:  

9781493302055


ISBN 10:   1493302051
Pages:   321
Publication Date:   16 June 1998
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Introduction. Discrete Expression of Signals. z-Transform. Transfer Function and Frequency Response Function of Linear Systems. Discrete Fourier Transform. Transfer Function Models and Wave Equations. Statistical Models for Acoustical Transfer Functions. Deconvolution and Inverse Filters. Linear Equations, Inverse Filters, and Signal Analysis. Index.

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