Signal Analysis

Signal analysis gives an insight into the properties of signals and stochastic processes by methodology. Linear transforms are integral to the continuing growth of signal processes as they characterize and classify signals. In particular, those transforms that provide time-frequency signal analysis are attracting greater numbers of researchers and are becoming an area of considerable importance. The key characteristic of these transforms, along with a certain time-frequency localization called the wavelet transform and various types of multirate filter banks, is their high computational efficiency. It is this computational efficiently which accounts for their increased application. This book provides a complete overview and introduction to signal analysis. It presents classical and modern signal analysis methods in a sequential structure starting with the background to signal theory. Progressing through the book the author introduces more advanced topics in an easy to understand style. Including recent and emerging topics such as filter banks with perfect reconstruction, time frequency and wavelets. With great accuracy and technical merit, this book makes a useful and original contribution to the current literature.

Alfred Mertins received the Dipl.-Ing. degree in Electrical Engineering from the University of Paderborn, Germany, in 1984, the Dr.-Ing. degree in Electrical Engineering and the Dr.-Ing. habil. degree in Telecommunications from the Hamburg University of Technology, Germany, in 1991 and 1994, respectively. From 1986 to 1991 he was with the Hamburg University of Technology, Germany, from 1991 to 1995 with the Microelectronics Applications Center Hamburg, Germany, from 1996 to 1997 with the University of Kiel, Germany, from 1997 to 1998 with the University of Western Australia, and from 1998 to 2003 with the University of Wollongong, Australia. From April 2003 to October 2006, he was with the University of Oldenburg, Germany. In November 2006 he joined the University of Lübeck, Germany, as a Professor of Computer Science and director of the Institute for Signal Processing. He is a Senior Member of the IEEE. His research interests include speech, audio, image and video processing, wavelets and filter banks, and digital communications.