Adaptive approximation algorithms for sparse data representation

Link:
Autor/in:
Erscheinungsjahr:
2014
Medientyp:
Text
Schlagworte:
  • Image denoising
  • Wavelet transforms
  • Curvelet transform
  • Algorithms
  • Computer Vision
  • Models
  • Image denoising
  • Wavelet transforms
  • Curvelet transform
  • Algorithms
  • Computer Vision
  • Models
Beschreibung:
  • We survey our latest results on the development and analysis of adaptive approximation algorithms for sparse data representation, where special emphasis is placed on the Easy Path Wavelet Transform (EPWT), nonlinear dimensionality reduction (NDR) methods, and their application to signal separation and detection.
Lizenz:
  • info:eu-repo/semantics/restrictedAccess
Quellsystem:
Forschungsinformationssystem der UHH

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Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/39ff3cdc-eef2-4936-8802-f855d10d30ed