Chronological Publications List (Publications By Area)


Books and book chapters
  1. H. Vikalo and B. Hassibi, Sphere Decoding Algorithms for Communications, to be published.

  2. B. Hassibi and H. Vikalo, "Maximum-Likelihood Decoding and Integer Least-Squares: The Expected Complexity," in Multiantenna Channels: Capacity, Coding and Signal Processing, (editors J. Foschini and S. Verdu), American Mathematical Society (AMS) 2003, pp. 161-191.

  3. T. Kailath, H. Vikalo, and B. Hassibi, "MIMO Receive Algorithms," in Space-Time Wireless Systems: From Array Processing to MIMO Communications, (editors H. Bolcskei, D. Gesbert, C. Papadias, and A. J. van der Veen), Cambridge University Press, 2005.
Journal papers
  1. H. Vikalo, B. Hassibi, and A. Hassibi, "Limits of performance of quantitative polymerase chain reaction systems," submitted.

  2. H. Vikalo and M. Gokdemir, "An MCMC algorithm for estimation in real-time biosensor arrays," submitted.

  3. H. Vikalo and B. Hassibi, "Statistical approach to solving the nearest codeword problem," to be submitted.

  4. A. Hassibi, H. Vikalo, and B. Hassibi, "Real-time microarrays," Nucleic Acids Research, 2009 (to appear).

  5. M. El-Khamy, H. Vikalo, B. Hassibi, and R. J. McEliece, "Bounds on the performance of sphere decoding of linear block codes," IEEE Transactions on Communications, 2009 (to appear).

  6. S. Das, H. Vikalo, and A. Hassibi, "On scaling laws of biosensors: a stochastic approach," Journal of Applied Physics, vol. 105, no. 10, May 2009, pp. 102021-102021-7.

  7. H. Vikalo, B. Hassibi, and A. Hassibi, "Modeling and estimation for real-time microarrays," IEEE Journal of Selected Topics in Signal Processing, Special Issue on Genomic and Proteomic Signal Processing, vol. 2, no. 3, June 2008, pp. 286-296.

  8. F. Parvaresh, H. Vikalo, S. Misra, and B. Hassibi, "Recovering sparse signals using sparse measurement matrices in compressed DNA microarrays," IEEE Journal of Selected Topics in Signal Processing, Special Issue on Genomic and Proteomic Signal Processing, vol. 2, no. 3, June 2008, pp. 275-285.

  9. M. Stojnic, H. Vikalo, and B. Hassibi, "Speeding up the sphere decoder with H-infinity and SDP inspired lower bounds," IEEE Transactions on Signal Processing, vol. 56, no. 2, February 2008, pp. 712-726.

  10. A. Hassibi, H. Vikalo, and A. Hajimiri, "On noise processes and limits of performance in biosensors,"Journal of Applied Physics, vol. 102, no. 1, July 2007, pp. 014909-014909-12.

  11. H. Vikalo, B. Hassibi, and A. Hassibi, "A statistical model for microarrays, optimal estimation algorithms, and limits of performance," IEEE Transactions on Signal Processing, Special Issue on Genomics Signal Processing, vol. 54, no. 6, June 2006, pp. 2444-2455.

  12. H. Vikalo and B. Hassibi, "On joint detection and decoding of linear block codes on Gaussian vector channels," IEEE Transactions on Signal Processing, vol. 54, no. 9, September 2006, pp. 3330-3342.

  13. M. Stojnic, H. Vikalo, and B. Hassibi, "Maximizing the sum-rate of multi-antenna broadcast channels using linear preprocessing," IEEE Transactions on Wireless Communications, vol. 5, no. 9, September 2006, pp. 2338-2342.

  14. H. Vikalo, B. Hassibi, and P. Stoica, "Joint ML channel estimation and signal detection," IEEE Transactions on Wireless Communications, vol. 5, no. 7, July 2006, pp. 1838-1845.

  15. H. Vikalo, B. Hassibi, and U. Mitra, "Sphere-constrained ML detection for frequency-selective channels," IEEE Transactions on Communications, vol. 54, no. 7, July 2006, pp. 1179 - 1183.

  16. H. Vikalo and B. Hassibi, "On sphere decoding algorithm. II. Generalizations, second-order statistics, and applications to communications," IEEE Transactions on Signal Processing, vol. 53, no. 8, August 2005, pp. 2819 - 2834.

  17. B. Hassibi and H. Vikalo, "On sphere decoding algorithm. I. Expected complexity," IEEE Transactions on Signal Processing, vol. 53, no. 8, August 2005, pp. 2806 - 2818.

  18. H. Vikalo, B. Hassibi, A. Erdogan, and T. Kailath, "On H-infinity design techniques for robust signal reconstruction in noisy filter banks," EURASIP Signal Processing, vol. 85, no. 1, January 2005, pp. 1-14.

  19. H. Vikalo, B. Hassibi, and T. Kailath, "Iterative decoding for MIMO channels via modified sphere decoder," IEEE Transactions on Wireless Communications, vol.3, no. 6, November 2004, pp. 2299-2311.

  20. H. Vikalo, B. Hassibi, B. Hochwald, and T. Kailath, "On the capacity of frequency-selective channels in training-based transmission schemes," IEEE Transactions on Signal Processing, vol. 52, no. 9, September 2004, pp: 2572-2583.

  21. H. Vikalo and B. Hassibi, "On maximum-likelihood sequence detection for multiple antenna systems over dispersive channels," EURASIP Journal on Applied Signal Processing, Special Issue on Space-Time Coding, May 2002, pp. 525-531.
Conference papers
  1. M. Gokdemir and H. Vikalo, "A particle filtering algorithms for parameter estimation in biosensor arrays," in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Minneapolis, MN, 2009.

  2. S.-H. Lee, H. Vikalo, and S. Vishwanath, "Message-passing for motif finding," in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Minneapolis, MN, 2009.

  3. S. Das, H. Vikalo, and A. Hassibi, "Stochastic modeling of reaction kinetics in biosensors using the Fokker-Planck equation," in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Minneapolis, MN, 2009.

  4. H. Vikalo and A. Hassibi, "Estimation in real-time affinity-based biosensors," in Proc. of IEEE Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, November 2008.

  5. H. Vikalo, F. Parvaresh, S. Misra, and B. Hassibi, "Sparse measurements, compressed sampling, and DNA microarrays," in Proceedings of IEEE ICASSP, Las Vegas, NV, 2008.

  6. H. Vikalo, B. Hassibi, and A. Hassibi, "On estimation in real-time microarrays," in Proceedings of IEEE ICASSP, Las Vegas, NV, 2008.

  7. H. Vikalo, B. Hassibi, and A. Hassibi, "Signal processing aspects of real-time DNA microarrays," Computational Advances in Multi-Sensor Adaptive Processing, St. Thomas, U.S. Virgin Islands, 2007 (invited).

  8. H. Vikalo, A. Hassibi, and B. Hassibi, "Signal processing for real-time microarrays," in Proc. of IEEE Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, November 2007 (invited).

  9. H. Vikalo, F. Parvaresh, and B. Hassibi, "On recovery of sparse signals in compressed DNA microarrays," in Proceedings of IEEE Asilomar Conf. on Signals, Systems and Computers, November 2007.

  10. H. Vikalo, B. Hassibi, M. Stojnic, and A. Hassibi, "Modeling the kinetics of hybridization in microarrays," in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Tuusula, Finland, 2007.

  11. H. Vikalo, B. Hassibi, and A. Hassibi, "ML detection of DNA initial copy in polymerase chain reaction processes," in Proceedings of IEEE ICASSP, Honolulu, HI, 2007.

  12. H. Vikalo, B. Hassibi, and A. Hassibi, "On joint maximum-likelihood estimation of PCR efficiency and initial amount of target," in Proceedings of IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS), College Station, TX, May 28-30, 2006.

  13. H. Vikalo, B. Hassibi, and A. Hassibi, "On limits of performance of DNA microarrays," in Proceedings of IEEE ICASSP, Toulouse, France, 2006.

  14. H. Vikalo, A. Hassibi, and B. Hassibi, "Optimal estimation of gene expression levels in microarrays," in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS), Newport, RI, May 22-25, 2005.

  15. A. Hassibi and H. Vikalo, "A probabilistic model for inherent noise and systematic errors of microarrays," in Proc. IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS), Newport, RI, May 22-25, 2005.

  16. H. Vikalo, A. Hassibi, and B. Hassibi, "Nucleic acid detection using bioluminescence regenerative cycle and statistical signal processing," in Proceedings of IEEE Workshop on Genomic Signal Processing and Statistics (GENSIPS) , Baltimore, MD, May 26-27, 2004.

  17. M. Stojnic, B. Hassibi, and H. Vikalo, "PEP analysis of the SDP based joint channel estimation and signal detection," in Proceedings of IEEE ICASSP, Honolulu, HI, April 2007.

  18. M. El-Khamy, H. Vikalo, B. Hassibi, and R. J. McEliece, "On the performance of sphere decoding of block codes," in Proceedings of IEEE International Symposium on Information Theory (ISIT), Seattle, WA, July 2006.

  19. M. Stojnic, H. Vikalo, and B. Hassibi, "Asymptotic analysis of the Gaussian broadcast channel with perturbation preprocessing," in Proceedings of IEEE ICASSP, Toulouse, France, May 2006.

  20. M. Stojnic, H. Vikalo, and B. Hassibi, "Further results on speeding up the sphere decoder," in Proceedings of IEEE ICASSP, Toulouse, France, May 2006.

  21. M. El-Khamy, H. Vikalo, and B. Hassibi, "Bounds on the performance of sphere decoding of linear block codes," in Proc. IEEE ITSOC Information Theory Workshop on Coding and Complexity (ITW), New Zealand, 2005.

  22. M. Stojnic, H. Vikalo, and B. Hassibi, "An efficient H-infinity estimation approach to speed up the sphere decoder," in Proc. International Conference on Wireless Networks, Communications, and Mobile Computing (WirelessCom), Kaanapali Beach, Maui, Hawaii, June 13-16, 2005.

  23. M. Stojnic, H. Vikalo, and B. Hassibi, "An H-infinity based lower bound to speed up sphere decoder," in Proceedings of The Sixth IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), June 2005.

  24. M. Stojnic, H. Vikalo, and B. Hassibi, "A branch-and-bound approach to speed up the sphere decoder," in Proc. ICASSP 2005, Philadelphia, PA, 2005.

  25. H. Vikalo and B. Hassibi, "Statistical approach to ML decoding of linear block codes on symmetric channels," in Proceedings of IEEE International Symposium on Information Theory (ISIT), Chicago, IL, 2004.

  26. M. Stojnic, H. Vikalo, and B. Hassibi, "Maximizing the sum rate of multi-antenna broadcast channels using linear preprocessing," in Proceedings of Globecom, Dallas, TX, 2004.

  27. H. Vikalo, B. Hassibi, and U. Mitra, "Sphere-constrained ML detection for channels with memory," in Proceedings of 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2003.

  28. H. Vikalo and B. Hassibi, "On joint ML detection and decoding," in Proceedings of IEEE International Symposium on Information Theory (ISIT), Yokohama, Japan, June 2003.

  29. H. Vikalo, B. Hassibi, and U. Mitra, "Sphere-constrained ML detection for frequency-selective channels," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, April 2003.

  30. H. Vikalo, B. Hassibi, and P. Stoica, "On joint ML channel estimation and signal detection for SIMO channels," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, April 2003.

  31. H. Vikalo and B. Hassibi, "Low-complexity iterative detection and decoding of multi-antenna systems employing channel and space-time codes," Asilomar 2002.

  32. H. Vikalo and B. Hassibi, "On the expected complexity of sphere decoding for frequency-selective channels," Allerton 2002.

  33. H. Vikalo and B. Hassibi, "Modified Fincke-Pohst algorithm for low-complexity iterative decoding over multiple antenna channels," IEEE ISIT, Lausanne, Switzerland, 2002.

  34. H. Vikalo and B. Hassibi, "Towards closing the capacity gap on multiple antenna channels," IEEE ICASSP, Orlando, FL, 2002.

  35. B. Hassibi and H. Vikalo, "On the expected complexity of integer least-squares problems," IEEE ICASSP, Orlando, FL, 2002.

  36. H. Vikalo and B. Hassibi, "Low-complexity iterative decoding over multiple antenna channels via a modified sphere decoder," Allerton 2001.

  37. B. Hassibi and H. Vikalo, "On the expected complexity of sphere decoding," Asilomar 2001.

  38. H. Vikalo, B. Hassibi, B. Hochwald, and T. Kailath, "Optimal training for frequency-selective fading channels," IEEE ICASSP, Salt Lake City, UT, 2001.

  39. H. Vikalo, B. Hassibi, and T. Kailath, "On robust multiuser detection," Proc. 34th Asilomar conference on signals, systems and computers, Asilomar, November 2000.

  40. S. Mudulodu, H. Vikalo, A. Paulraj, and T. Kailath, "CDMA multiser detection based on state-space estimation techniques," Proc. 34th Asilomar conference on signals, systems and computers, Asilomar, November 2000.

  41. H. Vikalo, A. T Erdogan, B. Hassibi, and T. Kailath, "Exponential-quadratic optimal signal reconstruction in noisy filter banks," Proc. SPIE 2000, San Diego, August 2000.

  42. T. Simunic, H.Vikalo, and G. De Micheli: "Energy efficient design of portable wireless systems", Proc. ISLPED 2000, Italy, June 2000.

  43. H. Vikalo, B. Hassibi, and T. Kailath, "Mixed H2/H-infinity optimal signal reconstruction in noisy filter banks," Proc. ICASSP 2000, Istanbul, Turkey, June 2000.

  44. H. Vikalo, B. Hassibi, and T. Kailath, "On H-infinity optimal signal reconstruction in noisy filter banks," Proc. ICASSP '99, Phoenix, AZ, March 1999.

  45. H. Vikalo and R. S. Blum, ``Distributed detection in dependent Gaussian Mixture noise,'' Invited paper at US-Australia workshop on defense signal processing (sponsored by AFOSR), Victor Harbor, South Australia, June 1997, p. 29, (ONR).

  46. H. Vikalo and R. S. Blum, "Distributed detection in dependent nonGaussian noise," Proc. 1997 IEEE Int'l Symposium on Information Theory, Ulm, Germany, June 1997.

  47. H. Vikalo and R. S. Blum, "Distributed detection of known signals in Gaussian mixture noise which is dependent from sensor to sensor," Proc. International Conference on Telecommunications," Melbourne, Australia, April 1997.

  48. Z. Kovacic, S. Bogdan, and H. Vikalo, "Design and parameter adaptation of a fuzzy servo controller," Proc. VI International Fuzzy Systems Association World Congress, Sao Paulo, Brazil, July 1995.

  49. Z. Kovacic, M. Stajdohar, and H. Vikalo, "Fuzzy emulation of a linear PI controller," Proc. 40th Conference KoREMA, Zagreb, Croatia, May 1995.

Theses

  1. H. Vikalo, Sphere Decoding Algorithms for Digital Communications, PhD Thesis, Stanford University, 2003.

  2. H. Vikalo, Distributed Detection in Impulsive Noise, Masters' Thesis, Lehigh University.

  3. H. Vikalo, Adaptive and Optimal Fuzzy Control of Electrical Drives, Bachelors' Thesis, University of Zagreb.

Home: http://users.ece.utexas.edu/~hvikalo/