Authors:
- Solid background in stochastic signal processing
- Rigorous treatment of mathematical tools
- Clear boundary between mathematics and engineering sciences
About this book
The most important concepts in statistics are presented so that linear systems and nonlinear ones as rectifiers with random input and output signals have proper mathematical description and allow statistical inference. Such systems are fundamental to many engineering areas, for example, electronics, measurements, communications and control.
Keywords
- estimation and detection
- modelling, system identification
- probability
- random variables
- statistical signal processing
- stochastic processes
- stochastic signals
- time series analysis
Authors and Affiliations
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Bochum, Germany
Johann Frederic Böhme
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Edinburgh, United Kingdom
Pei-Jung Chung
About the authors
Johann F. Böhme has been Professor of signal theory in the Department of Electrical Engineering and Information Sciences, Ruhr-Universität Bochum, Germany, since 1980. His research interests are in the areas of statistical signal processing and its applications. He is IEEE Life Fellow and recipient of the 2003 IEEE Signal Processing Society Technical Achievement Award.
Bibliographic Information
Book Title: Stochastic Signal Processing
Authors: Johann Frederic Böhme, Pei-Jung Chung
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Fachmedien Wiesbaden 2026
eBook ISBN: 978-3-8348-2137-9Due: 09 June 2018
Edition Number: 1
Number of Illustrations: 40 b/w illustrations