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Software-Based Acoustical Measurements

Modern Acoustics and Signal Processing

By (author) Federico Miyara
Format: Hardback
Language: English
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 7th Jun 2017
Dimensions: w 156mm h 234mm d 25mm
Weight: 808g
ISBN-10: 3319558706
ISBN-13: 9783319558707
Barcode No: 9783319558707
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Synopsis
This textbook provides a detailed introduction to the use of software in combination with simple and economical hardware (a sound level meter with calibrated AC output and a digital recording system) to obtain sophisticated measurements usually requiring expensive equipment. It emphasizes the use of free, open source, and multiplatform software. Many commercial acoustical measurement systems use software algorithms as an integral component; however the methods are not disclosed. This book enables the reader to develop useful algorithms and provides insight into the use of digital audio editing tools to document features in the signal. Topics covered include acoustical measurement principles, in-depth critical study of uncertainty applied to acoustical measurements, digital signal processing from the basics, and metrologically-oriented spectral and statistical analysis of signals. The student will gain a deep understanding of the use of software for measurement purposes; the ability to implement software-based measurement systems; familiarity with the hardware necessary to acquire and store signals; an appreciation for the key issue of long-term preservation of signals; and a full grasp of the often neglected issue of uncertainty in acoustical measurements. Pedagogical features include in-text worked-out examples, end-of-chapter problems, a glossary of metrology terms, and extensive appendices covering statistics, proofs, additional examples, file formats, and underlying theory.

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"This is essentially a mid-level book as far as theory is concerned and a practical guide for everyday work in the field. ... this book should be recommended to students and especially practitioners with scarce access to expensive tools." (Computing Reviews, November, 2017)