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conference paper · IEEE International Conference on Acoustics Speech and Signal Processing · 2013

MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection

Mahdi Marsousi, Kaveh Abhari, Paul Babyn, Javad Alirezaie

Cited by 9Abstract and details only

Abstract

A new multi-stage approach based on component extraction is proposed to more efficiently address the sparse representation problem. In each stage a pre-set number of coefficients are chosen for reconstructing each signal component. A global search is performed to extract a lower dimensional sub-dictionary consisting of a sorted set of candidate atoms to represent the signal component, corresponding to the stage. The best representing atoms are then selected from the sub dictionary using the Matching Pursuit (MP) method. Afterwards, the sparse coefficients are updated in the same manner in which the Orthogonal Matching Pursuit (OMP) operates. The proposed method is more efficient that the conventional OMP methods. To evaluate the performance of the proposed method, it is compared to OMP and Stagewise OMP (StOMP), which are conceptually the most similar to the proposed approach. The results illustrate the proposed method is more time efficient than OMP and more robust and sparser than the StOMP.

Cite this paper

APA 7

Marsousi, M., Abhari, K., Babyn, P., & Alirezaie, J. (2013). MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection. IEEE International Conference on Acoustics Speech and Signal Processing. https://doi.org/10.1109/icassp.2013.6637959

MLA 9

Marsousi, Mahdi, et al. “MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection.” IEEE International Conference on Acoustics Speech and Signal Processing, 2013, https://doi.org/10.1109/icassp.2013.6637959.

Chicago

Marsousi, Mahdi, Kaveh Abhari, Paul Babyn, and Javad Alirezaie. 2013. “MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection.” IEEE International Conference on Acoustics Speech and Signal Processing. https://doi.org/10.1109/icassp.2013.6637959.

Harvard

Marsousi, M. et al. (2013) ‘MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection’, IEEE International Conference on Acoustics Speech and Signal Processing. Available at: https://doi.org/10.1109/icassp.2013.6637959.

BibTeX
@article{marsousi2013multi,
  title = {{MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection}},
  author = {Marsousi, Mahdi and Abhari, Kaveh and Babyn, Paul and Alirezaie, Javad},
  journal = {IEEE International Conference on Acoustics Speech and Signal Processing},
  year = {2013},
  doi = {10.1109/icassp.2013.6637959}
}

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