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Michael B. Wakin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
    Image Compression using an Efficient Edge Cartoon + Texture Model. [Citation Graph (0, 0)][DBLP]
    DCC, 2002, pp:43-0 [Conf]
  2. Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
    Multiscale wedgelet image analysis: fast decompositions and modeling. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:585-588 [Conf]
  3. Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
    Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:49-52 [Conf]
  4. Justin K. Romberg, Michael B. Wakin, Hyeokho Choi, Richard G. Baraniuk
    Rate-distortion optimized image compression using wedgelets. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:237-240 [Conf]
  5. Marco F. Duarte, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
    Universal distributed sensing via random projections. [Citation Graph (0, 0)][DBLP]
    IPSN, 2006, pp:177-185 [Conf]
  6. Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham, Dror Baron, Richard G. Baraniuk
    Recovery of Jointly Sparse Signals from Few Random Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  7. Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
    Multiscale geometric image processing. [Citation Graph (0, 0)][DBLP]
    VCIP, 2003, pp:1265-1272 [Conf]
  8. Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
    Wavelet-domain approximation and compression of piecewise smooth images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:5, pp:1071-1087 [Journal]
  9. Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk
    An Architecture for Compressive Imaging. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:1273-1276 [Conf]

  10. Multiscale Random Projections for Compressive Classification. [Citation Graph (, )][DBLP]


  11. Sparse Signal and Image Recovery from Compressive Samples. [Citation Graph (, )][DBLP]


  12. Random Projections for Manifold Learning. [Citation Graph (, )][DBLP]


  13. Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model. [Citation Graph (, )][DBLP]


  14. Distributed Compressive Sensing [Citation Graph (, )][DBLP]


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