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99
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IOR
2006
163views more  IOR 2006»
15 years 13 days ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
97
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Beating nyquist through correlations: A constrained random demodulator for sampling of sparse bandlimited signals
Technological constraints severely limit the rate at which analog-todigital converters can reliably sample signals. Recently, Tropp et al. proposed an architecture, termed the ran...
Andrew Harms, Waheed U. Bajwa, A. Robert Calderban...
111
Voted
ECAI
2004
Springer
15 years 5 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...
80
Voted
APCCAS
2002
IEEE
138views Hardware» more  APCCAS 2002»
15 years 5 months ago
A 2.5-V 10-bit 40-MS/S double sampling pipeline A/D converter
This paper presents a 10-bit pipeline ADC using double sampling technique to achieve a conversion rate of 40 MS/s at 2.5-V supply. The opamps are two-stage with folded-cascode as ...
A. Tamtrakarn, N. Wongkomet
ISAAC
1998
Springer
66views Algorithms» more  ISAAC 1998»
15 years 4 months ago
A Parallel Algorithm for Sampling Matchings from an Almost Uniform Distribution
In this paper we present a randomized parallel algorithm to sample matchings from an almost uniform distribution on the set of matchings of all sizes in a graph. First we prove th...
Josep Díaz, Jordi Petit, Panagiotis Psychar...