Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations

@article{Barchiesi2013LearningID,
  title={Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations},
  author={Daniele Barchiesi and Mark D. Plumbley},
  journal={IEEE Transactions on Signal Processing},
  year={2013},
  volume={61},
  pages={2055-2065}
}
This article deals with learning dictionaries for sparse approximation whose atoms are both adapted to a training set of signals and mutually incoherent. To meet this objective, we employ a dictionary learning scheme consisting of sparse approximation followed by dictionary update and we add to the latter a decorrelation step in order to reach a target mutual coherence level. This step is accomplished by an iterative projection method complemented by a rotation of the dictionary. Experiments on… CONTINUE READING
Highly Cited
This paper has 102 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 54 extracted citations

103 Citations

0102030'13'14'15'16'17'18
Citations per Year
Semantic Scholar estimates that this publication has 103 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 37 references

Dictionary learning for the sparse approximation of audio signals

  • M. E. Davies
  • 2012

Learning incoherent dictionaries using iterative projections and lie group optimisation

  • D. Barchiesi, M. D. Plumbley
  • available at http://www.eecs.qmul.ac.uk/ danieleb…
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…