Temporal granulation and its application to signal analysis

DOI10.1016/S0020-0255(02)00179-2zbMath1006.68651MaRDI QIDQ1857080

Witold Pedrycz, Adam Gacek

Publication date: 11 February 2003

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

fuzzy setsinformation granularityECG signal analysissignalprocessingsyntactic pattern classifierstemporal and spatial granulationtemporal granulation

Mathematics Subject Classification ID

Computing methodologies and applications (68U99) Reasoning under uncertainty in the context of artificial intelligence (68T37) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (6)

Linear dynamic fuzzy granule based long-term forecasting model of interval-valued time series ⋮ Granulation-based symbolic representation of time series and semi-supervised classification ⋮ Fuzzy numbers from raw discrete data using linear regression ⋮ Evaluation of laser dynamic speckle signals applying granular computing ⋮ Granular modeling for the realization of fundamentals of control, systems analysis, and decision making ⋮ Granular computing: fundamentals and system modeling

Cites Work

• Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
• A syntactic algorithm for peak detection in waveforms with applications to cardiography
• Unresolved Problems in Cluster Analysis
• Fuzzy equalization in the construction of fuzzy sets.
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