Upcoming Seminars
July 24, 2008
ITERATIVE COMPILATION BY EXPLORATION OF KERNEL DECOMPOSITION
Dr W. Jalby
University of Versailles Saint Quentin
Past Seminars
May 19, 2008
Recent Advances in Computation Photography
Jingyi Yu, Assistant Professor
Computer and Information Science Department University of Delaware
May 7, 2008
Gauss' Law: What does it NOT say?
H. Brian Sequeira
Johns Hopkins University, Applied Physics Laboratory
April 30, 2008
Circuits with Light at the Nanoscale
Nader Engheta
H. Nedwill Ramsey Professor, University of Pennsylvania
Department of Electrical and Systems Engineering, Philadelphia, Pennsylvania
April 15, 2008
Vacuum Technology Seminar
Varian Inc. Vacuum Technologies
March 7, 2008
Microfluidic Cell Arrays for High Throughput Signal Pathway Profiling and Drug Screening
Professor Sihong Wang
Department of Biomedical Engineering, City University of New York
February 15,
Flow Control on the Micro-Scale
Dr. Benjamin Shapiro, Associate Professor
University of Maryland, Department of Aerospace Engineering
December 5, 2007
High Power Diode Lasers and Applications
Dr. Wei Gao, President and CTO
Axcel Photonics
November 30, 2007
Fascinating Rhythms:
Reverse Engineering Cortical Function from Changes in Brain Oscillations in Neurological and Psychiatric Disease
Leif Finkel, MD, PhD
University of Pennsylvania, Department of BioEngineering
November 26, 2007
Molecular Level Modeling and Dynamic Analysis of Biochemically Coupled Multicellular Systems
Michael Henson
University of Massachusetts Amherst
November 21, 2007
Nanostructures for Potential Signal Transduction Constructed via Molecular Self-Assembly
Dr. Darrin Pochen
University of Delaware, Materials Science and Engineering
November 19, 2007
Optimal Precoding for Multiple-Input Multiple-Output Gaussian Channels with Arbitrary Inputs
Dr. Fernando Perez-Cruz
Universidad Carlos III & Princeton University (joint work with Miguel Rodrigues and Sergio Verdu)
November 12, 2007
Random Control Bounds for Block Coded Transmission over Fading MIMO
Multiple Access Channel
November 7, 2007
Metal/Semiconductor Nanocomposites
Professor Joshua Zide
University of Delaware
November 2, 2007
Engineering Cancer Therapies:
Mathematical Modeling of Tumor Metabolism
and Therapeutic Efficacy
Professor Neil Forbes
University of Massachusetts Amherst
October 31, 2007
Finite Difference Delay
Dr. Xiaobo Wang
University of Delaware
October 19, 2007
Scheduling of Optimal Medication Strategies for Early HIV Infection
Professor Antonios Armaou
Pennsylvania State University
October 17, 2007
Is There Life on the Moon?
Professor Brian Sequeira
Johns Hopkins APL
April 30, 2007
Distributed Processing over Adaptive Networks
Professor Ali H. Sayed
University California, Los Angeles
April 9, 2007
Thoughts on Innovation
Ray Sokola,
Chief Technology Officer Motorola Inc.
Monday, March 12, 2007
Packet Switching Comes of Age: From Research to Commercial Development
Dr. W. David Sincoskie
March 5, 2007
Wireless Sensor Networks
Professor Edward Coyle,
Purdue University
Wednesday February 14, 2007
Confessions of an Internet Timekeeper
Dr. David L. Mills
The University of Delaware, Department of Electrical and Computer Engineering
Optimal Precoding for Multiple-Input Multiple-Output Gaussian Channels with Arbitrary Inputs
Dr. Fernando Perez-Cruz
Universidad Carlos III & Princeton University (joint work with Miguel Rodrigues and Sergio Verdu)
11:15 AM, Evans 204
Abstract:
We determine the precoding policy that maximizes the mutual
information for general multiple-input multiple-output (MIMO) Gaussian
channels with arbitrary input distributions, by capitalizing on the
recent relationship between mutual information and minimum mean squared
error (MMSE). We show that maximum transmission rates for non-Gaussian
inputs are not achieved by diagonalizing the channel matrix. Thereby
a full precoding matrix significantly increases the maximum transmission
rate, even for parallel non-interacting channels. We also determine the
optimal power allocation policy for MIMO channels. In this context,
we put forth a novel interpretation of the optimal power-allocation
procedure that generalizes the mercury/waterfilling algorithm, previously
proposed for parallel non-interfering channels. In this generalization
the mercury level accounts for the suboptimal (non-Gaussian) input
distribution and the interferences between inputs.
Biography:
Fernando Pérez-Cruz (S'97, M'01, SM'6) was born in Sevilla, Spain,
n 1973. He received a PhD. in Telecommunication Engineering in 2000 from
the Technical University of Madrid and an MSc in telecommunication
Engineering from the University of Sevilla in 1996. He is an Associated
Professor with the Department of Signal Theory and Communication at
University Carlos III in Madrid. He is currently on sabbatical at
Princeton University under a Marie Curie Outgoing fellowship. His
current research interest lies in machine learning algorithmic
and theoretical developments and its application to signal processing and
information theory. He has authored over 60 contributions to international
journals and conferences.