Classification in the Gabor time-frequency domain of non-stationary signals embedded in heavy noise with unknown statistical distribution

DOI10.2478/v10006-010-0010-xzbMath1300.62045OpenAlexW2157737299MaRDI QIDQ2930580

Ewa Swiercz

Publication date: 19 November 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-010-0010-x

zbMATH Keywords

pattern recognitionnon-stationary signalssignal classificationtime-frequency transforms

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Statistical testing of segment homogeneity in classification of piecewise-regular objects ⋮ A modified convolution and product theorem for the linear canonical transform derived by representation transformation in quantum mechanics ⋮ A practical application of kernel-based fuzzy discriminant analysis

Uses Software

• Matlab
• Time-frequency Toolbox
• PRMLT

Cites Work

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• Foundations of time-frequency analysis
• Data-driven design and complexity control of time-frequency detectors
• Integral Invariants and Shape Matching
• Discrete Gabor transform
• Texture classification by multi-model feature integration using Bayesian networks
• A time-frequency formulation of optimum detection
• Dual Gabor frames: theory and computational aspects

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