대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 1998년도 하계종합학술대회논문집
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- Pages.46-49
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- 1998
Stochastic Morphological Sampling Theorem을 이용한 지능형 진화형 수신기 구현
A Design of Intelligent and Evolving Receiver Based on Stochastic Morphological Sampling Theorem
초록
In this paper, we introduce the notion of intelligent communication by introducing a novel intelligent receiver model. This receiver is continually evolving and learns and improves in performance as it compiles its experience over time. In digital communication context, in a typical training mode, it jearns the concept of "1" as is deteriorated by arbitrary (not necessarily additive as is typically assumed) disturbance and /or modulation. After learning "1", in test mode, it classifies the received signal "1" and "0" almost completely. The intelligent receiver as implemented is grounded on the recently introduced Stochastic Morphological Sampling Theorem(SMST), a distribution-free result which gives theoretical bounds on the sample complexity(training size) needed for the required performance parameters such as accuracy(
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