Signal Analysis explores methods that offer an insight into the properties of signals and stochastic processes. This comprehensive and authoritative book provides an introduction to the fundamental theory of signal analysis. It bridges the gap between the basic knowledge in system theory and the specialist knowledge in various fields of signal processing and provides a complete overview of current applications. Features include: * Focus on both classical and modern approaches to transforms, such as the Karhunen?Loève transform and the discrete Fourier transform * Enhancement of the…mehr
Signal Analysis explores methods that offer an insight into the properties of signals and stochastic processes. This comprehensive and authoritative book provides an introduction to the fundamental theory of signal analysis. It bridges the gap between the basic knowledge in system theory and the specialist knowledge in various fields of signal processing and provides a complete overview of current applications. Features include: * Focus on both classical and modern approaches to transforms, such as the Karhunen?Loève transform and the discrete Fourier transform * Enhancement of the understanding and relation of transform theory * Discussion of recent and emerging topics, including filter banks with perfect reconstruction time-frequency and wavelets. With its great accuracy and technical merit, Signal Analysis is essential reading for signal processing engineers, researchers, undergraduates, postgraduates and lecturers of electrical and computer engineering.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
Signals and Signal Spaces. Integral Signal Representations. Discrete Signal Representations. Examples of Discrete Transforms. Transforms and Filters for Stochastic Processes. Filter Banks. Short-Time Fourier Analysis. Wavelet Transform. Non-Linear Time-Frequency Distributions. Bibliography. Index.
Signals and Signal Spaces. Integral Signal Representations. Discrete Signal Representations. Examples of Discrete Transforms. Transforms and Filters for Stochastic Processes. Filter Banks. Short-Time Fourier Analysis. Wavelet Transform. Non-Linear Time-Frequency Distributions. Bibliography. Index.
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