Sparse random projections

  • W. Wang, M. J. Wainwright, and K. Ramchandran. Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices. Technical Report 754, Department of Statistics, UC Berkeley, May 2008.
    Conference version:
  • W. Wang, M. J. Wainwright, and K. Ramchandran. Information-theoretic limits on sparse support recovery: Dense versus sparse measurements. To appear in International Symposium on Information Theory (ISIT), July 2008.

  • W. Wang, M. Garofalakis, and K. Ramchandran. Distributed Sparse Random Projections for Refinable Approximation. International Conference on Information Processing in Sensor Networks (IPSN), April 2007.

    Distributed signal processing

  • W. Wang, M. Garofalakis, and K. Ramchandran. Distributed Sparse Random Projections for Refinable Approximation. International Conference on Information Processing in Sensor Networks (IPSN), April 2007.

  • W. Wang and K. Ramchandran. Random Distributed Multiresolution Representations with Significance Querying. International Conference on Information Processing in Sensor Networks (IPSN), April 2006.

  • W. Wang and K. Ramchandran. Random Multiresolution Representations for Arbitrary Sensor Network Graphs. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2006.

    Coding

  • A. Shokrollahi and W. Wang. Low-Density Parity-Check Codes with Rates Very Close to the Capacity of the q-ary Symmetric Channel for Large q. International Symposium on Information Theory (ISIT), July 2004.

  • C. Harrelson, L. Ip, W. Wang. Limited Randomness LT Codes. Allerton Conference on Communication, Control, and Computing, October 2003.

  • V. K. Goyal, S. A. Savari, and W. Wang. On Optimal Permutation Codes. IEEE Transactions on Information Theory, Vol. 47, No. 7, pp. 2961-2971, November 2001.

  • V. K. Goyal, S. A. Savari, and W. Wang. Optimal Permutation Codes for Uniform Sources. International Symposium on Information Theory (ISIT), Washington, DC, June 2001.

    Signal processing for bioinformatics

  • W. Wang. Microarray Image Compression. M.S. thesis, University of California, Berkeley, 2002.

  • R. Jornsten, W. Wang, B. Yu, and K. Ramchandran. Microarray Image Compression: SLOCO and the Effect of Information Loss. EURASIP Signal Processing Journal: Special Issue on Genomic Signal Processing, Vol. 83/4, pp. 859-869, April 2003.

  • R. Jornsten, B. Yu, W. Wang, and K. Ramchandran. Compression of cDNA and Inkjet Microarray Images. International Conference on Image Processing (ICIP), Rochester, NY, September 2002.

  • Invited talk. Microarray Image Compression and the Effect of Compression Loss. International Symposium on Biomedical Imaging, Washington, DC, July 2002.

  • W. Wang and D. H. Johnson. Computing Linear Transforms of Symbolic Data. IEEE Transactions on Signal Processing, Vol. 50, No. 3, March 2002.

  • D.H. Johnson and W. Wang. Symbolic Signal Processing. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Phoenix, AZ, March 1999.

    Speech recognition

  • W. Byrne, P. Beyerlein, J. M. Huerta, S. Khudanpur, B. Marthi, J. Morgan, N. Peterek, J. Picone, D. Vergyri, and W. Wang. Towards Language Independent Acoustic Modeling. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Istanbul, Turkey, June 2000.

  • P. Beyerlein, W. Byrne, J. M. Huerta, S. Khudanpur, B. Marthi, J. Morgan, N. Peterek, J. Picone, and W. Wang. Towards Language Independent Acoustic Modeling. Workshop Automatic Speech Recognition and Understanding, Keystone, CO, December 1999.

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