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TVCG
2011
119views more  TVCG 2011»
13 years 2 months ago
Toward High-Quality Gradient Estimation on Regular Lattices
—In this paper, we present two methods for accurate gradient estimation from scalar field data sampled on regular lattices. The first method is based on the multidimensional Tayl...
Zahid Hossain, Usman R. Alim, Torsten Möller
ICC
2007
IEEE
143views Communications» more  ICC 2007»
14 years 1 months ago
An Improved Joint M-Algorithm for Single Antenna Interference Cancellation in TDMA Mobile Radio
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
Thorben Detert, Romain Drauge
AR
2007
105views more  AR 2007»
13 years 7 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
ICTAI
1997
IEEE
13 years 11 months ago
Exploiting Symbolic Techniques within Genetic Algorithms for Power Optimization
This paper proposes an optimization algorithm for reducing the power dissipation in a sequential circuit. The encoding of the different states in a Finite State Machine is modifie...
S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizi...
ISLPED
1998
ACM
94views Hardware» more  ISLPED 1998»
13 years 11 months ago
Theoretical bounds for switching activity analysis in finite-state machines
- The objective of this paper is to provide lower and upper bounds for the switching activity on the state lines in Finite State Machines (FSMs). Using a Markov chain model for the...
Diana Marculescu, Radu Marculescu, Massoud Pedram