Features
- Cover Type: Hard Cover with 385 pages
- Published by: A K Peters, Ltd. June 15, 2005
- Written in: English
- ISBN 10 Number: 1568812426
- ISBN 13 Number: 978-1568812427
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Book Dimensions:
9.1 x 6.1 x 1 inches
- Weighs: 1 pounds
Product Description
Book Description A practical guide to the mathematics behind signal processing, this book provides the essential mathematical background and tools necessary to understand and employ signal processing techniques. Topics addressed include
• Fourier series and transforms in one and several variables
• applications to acoustic and electromagnetic propagation models
• transmission and emission tomography and image reconstruction
• optimization techniques
• high-resolution methods, and more
The emphasis is on the general problem of extracting information from limited data obtained by some form of remote sensing: acoustic or radar processing, satellite imaging, or medical tomographic scanning.
About The Author
Charles L. Byrne earned a BA from Georgetown University and his MA and Ph.D. from the University of Pittsburgh, all in Mathematics. He is currently a professor in the Department of Mathematical Sciences at the University of Massachusetts, Lowell, and served as department chair from 1987-1990. From 1979 to 1993 he was a consultant to the Acoustics Division, US Naval Research Laboratory and since 1990 he has also been a consultant to the Department of Radiology, University of Massachusetts Medical School, Worcester.
Reader ReviewsAn amazing amount of data being collected out in the real world comes in the form of digital signals. This includes radar, sonar, ultra-sound or other medical imaging system, and more. Once the data is captured (the realm of the pure enginnering types) some kind of processing has to be done to convert the data (a string of 0's and 1's) into something that comes across to us as information. Now the problem moves to the mathematician who has to decide how to best take this data and process it to get it in a form that provides useful information. The basic mathematical techniques are not new (Fourier did his work about 1800, Hilbert around 1900) but nor are they the things you normally study in high school. As digital computers have become possible, new techniques have been developed to speed the processing task. This book is positioned at the intersection of the engineer producing the signal, and the programmer who has to do something with it. It is the solid mathematical background to signal processing. It is basically a selection of the mathematical techniques needed to do signal processing.
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