Journal article
On the optimality of hysteresis operators in signal processing and communication systems
Journal of the Franklin Institute, v 342(7), pp 749-759
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper demonstrates that hysteresis operators are the optimal estimators for a large class of estimation and decision problems. This class of problems arises whenever a cost is associated with actions needed to process changes in the estimates or decisions. A simple example related to least-squares estimation is used to illustrate and motivate the developments in this paper. Subsequently, the problem of mean-square estimation with minimal cost of actions is investigated. These results provide a justification for the use of hysteresis in many practical signal processing and communication applications.
Metrics
Details
- Title
- On the optimality of hysteresis operators in signal processing and communication systems
- Creators
- Dan Schonfeld - University of Illinois at ChicagoGary Friedman - Drexel University
- Publication Details
- Journal of the Franklin Institute, v 342(7), pp 749-759
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000233227200003
- Scopus ID
- 2-s2.0-26444460188
- Other Identifier
- 991019168297504721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic
- Engineering, Multidisciplinary
- Mathematics, Interdisciplinary Applications