Aliaksei Sandryhaila

Aliaksei Sandryhaila

Research Scientist
Department of Electrical and Computer Engineering
Carnegie Mellon University

Electrical and Computer Engineering
Carnegie Mellon University

Publications

Journal

  1. A. Sandryhaila and J. M. F. Moura, “Big Data processing with signal processing on graphs,” IEEE Signal Processing Magazine, accepted, 2014.
  2. A. Sandryhaila and J. M. F. Moura, “Discrete signal processing on graphs: Frequency analysis,” IEEE Transactions on Signal Processing, vol. 62, no. 12, pp.3042-3054, 2014. PDF
  3. A. Sandryhaila and J. M. F. Moura, “Discrete signal processing on graphs,” IEEE Transactions on Signal Processing, vol. 61, no. 7, pp.1644-1656, 2013. PDF
  4. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Algebraic signal processing theory: 1-D nearest-neighbor models,” IEEE Transactions on Signal Processing, vol. 60, no. 5, pp.2247-2259, 2012. PDF
  5. A. Sandryhaila, S. Saba, M. Pueschel, and J. Kovacevic, “Efficient compression of QRS complexes using Hermite expansion,” IEEE Transactions on Signal Processing, vol. 60, no. 2, pp.947-955, 2012. PDF
  6. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Algebraic signal processing theory: Cooley-Tukey type algorithms for polynomial transforms based on induction,” SIAM Journal on Matrix Analysis and Applications, vol. 32, no. 2, pp. 364-384, 2011. PDF
  7. A. Sandryhaila, A. Chebira, C. Milo, J. Kovacevic, and M. Pueschel, “Systematic construction of real lapped tight frame transforms,” IEEE Transactions on Signal Processing, vol. 58, no. 5, pp.2556-2567, 2010. PDF

Conference (fully reviewed)

  1. A. Sandryhaila, S. Kar, and J. M. F. Moura, “Finite-time distributed consensus through graph filters,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014. PDF.
  2. S. Chen, A. Sandryhaila, G. Lederman, Z. Wang, J. M. F. Moura, P. Rizzo, J. Bielak, J. H. Garrett, and J. Kovacevic, “Signal inpainting on graphs via total variation minimization,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014. PDF
  3. A. Sandryhaila and J. M. F. Moura, “Classification via regularization on graphs,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 495-498, 2013. PDF
  4. S. Chen, A. Sandryhaila, J. M. F. Moura, and J. Kovacevic, “Adaptive graph filtering: Multiresolution classification on graphs,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 427-430, 2013. PDF
  5. A. Sandryhaila and J. M. F. Moura, “Discrete signal processing on graphs: Graph Fourier transform,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 6167-6170, 2013. PDF
  6. A. Sandryhaila and J. M. F. Moura, “Discrete signal processing on graphs: Graph filters,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 6163-6166, 2013. PDF
  7. A. Sandryhaila and J. M. F. Moura, “Nearest-neighbor image model,” in Proc. IEEE International Conference on Image Processing (ICIP), pp. 2521-2524, 2012. PDF
  8. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Compression of QRS complexes using Hermite expansion,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 581-584, 2011. PDF
  9. A. Sandryhaila, A. Chebira, M. Pueschel, and J. Kovacevic, “A new class of seeded real lapped tight frame transforms,” in Proc. SPIE Conference on Wavelet Applications in Signal and Image Processing (Wavelets XIII), vol. 7446, 2009. PDF
  10. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Haar filter banks for 1-D space signals,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3505-3508, 2008. PDF
  11. D. Balcan, A. Sandryhaila, J. Gross and M. Pueschel, “Alternatives to the discrete Fourier transform,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3537-3540, 2008. PDF
  12. P. D'Alberto, F. Franchetti, P. A. Milder, A. Sandryhaila, J. C. Hoe, J. M. F. Moura, and M. Pueschel, “Generating FPGA accelerated DFT libraries,” in Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), 2007. PDF
  13. A. Chebira, L. P. Coelho, A. Sandryhaila, S. Lin, W. G. Jenkinson, J. MacSleyne, C. Hoffman, P. Cuadra, C. Jackson, M. Pueschel, and J. Kovacevic, “An adaptive multiresolution approach to fingerprint recognition,” in Proc. International Conference on Image Processing (ICIP), vol. 1, pp. I-457-I-460, 2007. PDF

Conference (abstract reviewed)

  1. F. Franchetti, A. Sandryhaila and J. Johnson, “High assurance SPIRAL,” SPIE Conference on Defense and Security, May 2014.
  2. A. Sandryhaila and J. M. F. Moura, “Image compression with nearest-neighbor transforms,” SIAM Conference on Imaging Science, May 2012.
  3. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Polynomial transform decomposition using module induction,” SIAM Annual Meeting, July 2010.
  4. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Fast polynomial transforms via module induction,” February Fourier Talks, University of Maryland at College Park, February 2010.
  5. A. Sandryhaila, J. Kovacevic, and M. Pueschel, “Algebraic signal processing: Wavelets for space signals,” Twenty Years of Wavelets, DePaul University, May 2009.
  6. A. Sandryhaila, A. Chebira, J. Kovacevic, and M. Pueschel, “Lapped tight frame transforms,” February Fourier Talks, University of Maryland at College Park, February 2009.

Ph.D. Thesis

  1. A. Sandryhaila, “Algebraic signal processing: Modeling and subband analysis,” Electrical and Computer Engineering, Carnegie Mellon University, November 2010. PDF