Adaptive filtering and change detection
Fredrik Gustafsson
Wiley, 2001
Adaptive filtering is a classical branch of digital signal processing (DSP) and its industrial interest grows continuously with the increase in computer performance allowing even rather complex algorithms to be run in real-time. On the other hand, change detection is another kind of adaptive filtering for non-stationary signals which has up to now been seen as a theoretical subject with few applications in practice. Change detection is also the basic tool in fault detection and diagnosis. The book bridges a gap in literature with a unified treatment of these areas, stressing that change detection is a natural extension of adaptive filters, and adaptive filters are basic building blocks in all change detectors. The book is rather broad in that it covers many disciplines both regarding mathematical tools (algebra, calculus, statistics) and applications areas (airborne, automotive, communication systems and also standard signal processing and automatic control applications), and its strong points include:
- Thoroughly worked out real world examples, which illustrate quite involved results.
- A unifying framework for the theory of change detection based on a filtering approach.
- A complete treatment of adaptive filtering
- master students specializing in DSP,
- graduate students in electrical engineering,
- applied engineers and researchers in the field of model based DSP.
Contact the authors:
Fredrik Gustafsson