Mikio Tohyama, Tsunehiko Koike

Fundamentals of Acoustic Signal Processing

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 321
• Erscheinungstermin: 16. Juni 1998
• Englisch
• ISBN-13: 9781493302055
• ISBN-10: 1493302051
• Artikelnr.: 41642930

Autorenporträt

Mikio Tohyama holds a Doctorate of Engineering from Waseda University, Tokyo, Japan. Beginning in 1975 and for the next 18 years, Dr. Tohyama worked in research projects involving acoustics, vibration, and signal processing at the Nippon Telegraph and Telephone (NTT) Research Laboratories in Japan. From 1993 until 2003 he was professor at Kogakuin University, Tokyo, before moving to Waseda University, Tokyo, where he was professor of sound and auditory perception until 2012. In 2012 he founded a research consulting firm, Wave Science Study (WSS), which he still runs today. His present research interests are sound signature analysis oriented to sound field perception. Dr. Tohyama enjoys playing the piano every day.

Inhaltsangabe

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.