Through numerous examples and case studies from industry, it demonstrates both the potential and the limits of wavelet techniques, expanding the usual treatment beyond the discrete wavelet transform to the continuous transform.

Providing the basics of Fourier transforms and digital filters in the appendix, the text is supplemented with end-of-chapter exercises, MatLab code, and a short introduction to the MATLAB wavelet toolbox.

About the Author

Hans-Georg Stark

studied physics at W�rzburg University and the State University of New York at Albany (USA). Degrees: Master of Science 1979, Diploma 1981, PhD 1984 (each in theoretical physics). After the PhD, he held scientific positions in academia (Technomathematics Group at Kaiserslautern University) and industry (VDO-Adolf-Schindling AG and TECMATH GmbH), where he worked in reliability analysis (VDO) and image- and signal processing (TECMATH) and coordinated the respective company's activities. Since 1996 he is Professor of Mathematics and Computer Science, first at W�rzburg-Schweinfurt-Aschaffenburg University of Applied Sciences and, since 1999, at Aschaffenburg University of Applied Sciences. His current research and teaching are in the fields of applied mathematics and signal- and image analysis, and he also serves as an industrial consultant.

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