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ICASSP
2011
IEEE
14 years 7 months ago
Parameter estimation using sparse reconstruction with dynamic dictionaries
We consider the problem of parameter estimation for signals characterized by sums of parameterized functions. We present a dynamic dictionary subset selection approach to paramete...
Christian D. Austin, Joshua N. Ash, Randolph L. Mo...
ICASSP
2008
IEEE
15 years 10 months ago
Bounds and algorithms for time delay estimation on parallel, flat fading channels
We study time delay estimation (TDE) on parallel channels with flat fading. Several models for the channel gains are considered, and for each case we present the the maximum like...
Richard J. Kozick, Brian M. Sadler
CORR
2011
Springer
148views Education» more  CORR 2011»
14 years 11 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
PROCEDIA
2010
123views more  PROCEDIA 2010»
15 years 2 months ago
An adaptive model switching and discretization algorithm for gas flow on networks
We are interested in the simulation and optimization of gas transport in networks. Those networks consist of pipes and various other components like compressor stations and valves...
Pia Domschke, Oliver Kolb, Jens Lang
COLT
2000
Springer
15 years 8 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter