Larry A. Shepp
Affiliations:- University of Pennsylvania, USA
- Rutgers University, USA
According to our database1,
Larry A. Shepp
authored at least 47 papers
between 1967 and 2017.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on viaf.org
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on id.loc.gov
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on d-nb.info
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Bibliography
2017
Stationary Gaussian Markov processes as limits of stationary autoregressive time series.
J. Multivar. Anal., 2017
J. Appl. Probab., 2017
2014
2013
Ann. Oper. Res., 2013
2012
Proceedings of IEEE International Conference on Communications, 2012
2011
2009
Proceedings of the Mathematics of Preference, Choice and Order, 2009
2008
New brain atlas - Mapping the human brain in vivo with 7.0 T MRI and comparison with postmortem histology: Will these images change modern medicine?
Int. J. Imaging Syst. Technol., 2008
2007
SIAM J. Discret. Math., 2007
2006
A generalization of the two-dimensional prolate spheroidal wave function method for nonrectilinear MRI data acquisition methods.
IEEE Trans. Image Process., 2006
PLoS Comput. Biol., 2006
2005
IEEE Trans. Veh. Technol., 2005
2003
On the SNR penalty of MPSK with hybrid selection/maximal ratio combining over i.i.d. Rayleigh fading channels.
IEEE Trans. Commun., 2003
2002
IEEE Trans. Inf. Theory, 2002
2000
1999
IEEE Trans. Image Process., 1999
1998
1997
Discret. Appl. Math., 1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1995
On the Entropy of DNA: Algorithms and Measurements Based on Memory and Rapid Convergence.
Proceedings of the Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 1995
1994
IEEE Trans. Commun., 1994
1993
Monotone Optimal Multipartitions Using Schur Convexity with Respect to Partial Orders.
SIAM J. Discret. Math., 1993
1991
Discret. Math., 1991
1990
1989
Embedding nonnegative definite Toeplitz matrices in nonnegative definite circulant matrices, with application to covariance estimation.
IEEE Trans. Inf. Theory, 1989
1988
1987
1985
IEEE Trans. Software Eng., 1985
SIAM J. Comput., 1985
Component-level redundancy is better than system-level redundancy for channel graphs.
Networks, 1985
Comb., 1985
1983
1980
SIAM J. Algebraic Discret. Methods, 1980
1973
1969
Binary communication over the Gaussian channel using feedback with a peak energy constraint.
IEEE Trans. Inf. Theory, 1969
1967
On the best finite set of linear observables for discriminating two Gaussian signals.
IEEE Trans. Inf. Theory, 1967