Book Chapters
- T. Kailath, H. Vikalo and B. Hassibi,
MIMO Receive Algorithms,
in Space-Time Wireless Systems: From Array Processing to MIMO
Communications, H. Bolcskei, D. Gesbert, C. Papadias and A.J. van
der Veen Eds., Cambridge University Press, 2005.
- 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.
- B. Hassibi,
On the robustness of LMS filters,
in Least-Mean-Square Adaptive Filters, S. Haykin and B. Widrow, Eds., John Wiley & Sons, 2003.
- T. Kailath, A.H. Sayed, and B. Hassibi,
Kalman filters,
in Wiley Encyclopedia of Electrical and Electronics
Engineering, 1998.
- A.H. Sayed, B. Hassibi and T. Kailath,
Adaptive filtering,
in McGraw-Hill Encyclopedia of Science & Technology, S.P.
Parker, Editor, McGraw-Hill, 1997.
- A.H. Sayed, B. Hassibi and T. Kailath,
Inertia conditions for the
minimization of quadratic forms in indefinite metric spaces,
in Operator Theory: Advances and Applications, I. Gohberg,
P. Lancaster and P.N. Shivakumar, Eds., pp. 309-347, Operator Theory:
Advances and Applications, Vol. 87, Birkhauser, 1996.
- B. Hassibi and T.Kailath,
H-infinity optimal training algorithms
and their relation to backpropagation,
in Advances in Neural Information Processing Systems, Vol 7,
G. Tesauro, D.S. Touretzky and T.K. Leen, Eds., pp. 191-199, MIT-Press,
Apr 1995.
- B. Hassibi, A.H. Sayed and T. Kailath,
LMS is H-infinity optimal,
in Adaptive Control, Filtering and Signal Processing,
K.J. Astrom, G.C. Goodwin and P.R. Kumar Eds., pp. 65-89,
Springer-Verlag, 1995.
- B. Hassibi, A.H. Sayed and T. Kailath,
H-infinity optimality criteria for LMS and backpropagation,
in Advances in Neural Information Processing Systems, Vol 6,
J.D. Cowan, G. Tesauro and J. Alspector, Eds., pp. 351-359,
Morgan-Kaufmann, Apr 1994.
- B. Hassibi, D.G. Stork, G. Wolf and T. Watanabe,
Optimal brain surgeon: Extensions, streamlining and performance comparisons,
in Advances in Neural Information Processing Systems, Vol 6,
J.D. Cowan, G. Tesauro and J. Alspector, Eds., pp. 263-271,
Morgan-Kaufmann, Apr 1994.
- B. Hassibi, A.H. Sayed and T. Kailath,
LMS and backpropagation are minimax filters,
in Theoretical Advances in Neural Computation and Learning,
V. Roychowdhury, K.Y.
Siu, and A. Orlitsky, Eds., pp. 424-449, Kluwer 1994.
- B. Hassibi and D.G. Stork,
Second order derivatives for network pruning: Optimal brain surgeon,
in Advances in Neural Information Processing Systems, Vol 5,
S.J. Hanson, J.D. Cowan and C.L. Giles, Eds., pp. 164-172,
Morgan-Kaufmann, Apr 1993.
- T. Kailath, B. Hassibi and A. H. Sayed,
H-infinity filtering is just Kalman filtering in Krein space,
in Computing and Intelligent Systems, eds. S. Keerthi,
Y. Narahari and N. Viswanadham, Tata McGraw-Hill Publishing Co. Ltd.,
pp. 7-15, New Delhi, 1993.