Sphere Decoding, Integer-Least-Squares, etc., Papers

1. 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, pages 3330-3342, Sep 2006.

2. H. Vikalo, B. Hassibi and P. Stoica, Efficient joint maximum-likelihood channel estimation and signal detection, IEEE Transactions on Wireless Communications, vol 5, no 7, pages 1838-1845, Jul 2006.

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

4. M. Stojnic, H. Vikalo and B. Hassibi, Further results on speeding up the sphere decoder Proceedings of the 2006 IEEE International Conference on Acoustics, Speech and Signal Processing.

5. M. El-Khamy, H. Vikalo and B. Hassibi, Bounds on the performance of sphere decoding of linear block codes Proceedings of the 2005 IEEE Information Theory Workshop.

6. M. Stojnic, H. Vikalo and B. Hassibi, An efficient H-infinity estimation approach to speed up the sphere decoder Proceedings of the 2005 IEEE International Conference on Wireless Networks, Communications and Mobile Computing.

7. M. Stojnic, H. Vikalo and B. Hassibi, An H-infinity lower bound to speed up the sphere decoder Proceedings of the 2005 IEEE Workshop on Signal Processing Advances in Wireless Communications.

8. M. Stojnic, H. Vikalo and B. Hassibi, A branch and bound approach to speed up the sphere decoder Proceedings of the 2005 IEEE International Conference on Acoustics, Speech and Signal Processing.

9. R. Gowaikar and B. Hassibi, Efficient maximum-likeihood decoding via statistical pruning, submitted to IEEE Transactions on Information Theory.

10. B. Hassibi and H. Vikalo, On the sphere decoding algorithm: Part I, the expected complexity IEEE Transactions on Signal Processing, vol 53, no 8, pages 2806-2818, Aug 2005.

11. B. Hassibi and H. Vikalo, On the sphere decoding algorithm: Part II, generalizations, second-order statistics and applications to communications IEEE Transactions on Signal Processing, vol 53, no 8, pages 2819-2834, Aug 2005.

12. 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, pages 2299-2311, Nov 2004.

13. H. Vikalo and B. Hassibi, Statistical approach to ML decoding of linear block codes on symmetric channels Proceedings of the 2004 IEEE International Symposium on Information Theory.

14. H. Vikalo and B. Hassibi, Maximum-likelihood sequence detection of multiple antenna systems over dispersive channels via sphere decoding Eurasip Journal on Applied Signal Processing, vol.2002, no.5, May 2002, pages 525-31.

15. H. Vikalo and B. Hassibi, On joint ml detection and decoding for linear block codes Proceedings of the 2003 IEEE International Symposium on Information Theory, page 275.

16. R. Gowaikar and B. Hassibi, Efficient near-ml decoding via statistical pruning Proceedings of the 2003 IEEE International Symposium on Information Theory, page 274.

17. P. Stoica, H. Vikalo and B. Hassibi, Joint maximum-likelihood channel estimation and signal detection for SIMO channels, Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing, volume 4, pages 13-16.

18. H. Vikalo, B. Hassibi and U. Mitra, Sphere-constrained ML detection for frequency-selective channels Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing, volume 4, pages 1-4.

19. R. Gowaikar and B. Hassibi, Efficient statistical pruning for maximum likelihood decoding Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing, volume 5, pages 49-52.

20. B. Hassibi and H. Vikalo, Maximum-Likelihood Decoding and Integer Least-Squares: The Expected Complexity, in Multiantenna Channels: Capacity, Coding and Signal Processing, J. Foschini and S. Verdu, Eds., American Mathematical Society, 2003.

21. H. Vikalo and B. Hassibi, Maximum-likelihood sequence detection of multiple antenna systems over dispersive channels via sphere decoding Eurasip Journal on Applied Signal Processing, vol.2002, no.5, May 2002, pages 525-31.

22. H. Vikalo and B. Hassibi, Modified fincke-pohst algorithm for low-complexity iterative decoding over multiple antenna channels Proceedings of the 2002 IEEE International Symposium on Information Theory, page 390.

23. H. Vikalo and B. Hassibi Towards closing the capacity gap on multiple antenna channels, Proceedings of the 2002 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 2385-88.

24. B. Hassibi and H. Vikalo, On the expected complexity of integer least-squares problems, Proceedings of the 2002 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 1497-500.

25. B. Hassibi and H. Vikalo, On the expected complexity of sphere decoding, Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers , 2001, pages 1051-55.

26. B. Hassibi, An efficient square-root algorithm for BLAST, submitted to IEEE Transactions on Signal Processing.

27. B. Hassibi, A fast square-root implementation for BLAST, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers , 2000, pages 1255-59.

28. B. Hassibi, An efficient square-root algorithm for BLAST, Proceedings of the 2000 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 737-40.

29. B. Hassibi, A. Paulraj and T. Kailath, On a closed-form solution to the constant modulus factorization problem, Proceedings of the 28th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov 1994.