Book Chapters

  1. 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.

  2. 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.

  3. B. Hassibi, On the robustness of LMS filters, in Least-Mean-Square Adaptive Filters, S. Haykin and B. Widrow, Eds., John Wiley & Sons, 2003.

  4. T. Kailath, A.H. Sayed, and B. Hassibi, Kalman filters, in Wiley Encyclopedia of Electrical and Electronics Engineering, 1998.

  5. A.H. Sayed, B. Hassibi and T. Kailath, Adaptive filtering, in McGraw-Hill Encyclopedia of Science & Technology, S.P. Parker, Editor, McGraw-Hill, 1997.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.