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AAAI
2006
13 years 8 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
FCCM
2009
IEEE
316views VLSI» more  FCCM 2009»
13 years 11 months ago
An FPGA Implementation for Solving Least Square Problem
This paper proposes a high performance least square solver on FPGAs using the Cholesky decomposition method. Our design can be realized by iteratively adopting a single triangular...
Depeng Yang, Gregory D. Peterson, Husheng Li, Junq...
SIAMMAX
2010
92views more  SIAMMAX 2010»
13 years 2 months ago
Estimating the Backward Error in LSQR
We propose practical stopping criteria for the iterative solution of sparse linear least squares (LS) problems. Although we focus our discussion on the algorithm LSQR of Paige and ...
Pavel Jiránek, David Titley-Péloquin
ICASSP
2008
IEEE
14 years 1 months ago
A fast approximate joint diagonalization algorithm using a criterion with a block diagonal weight matrix
We propose a new algorithm for Approximate Joint Diagonalization (AJD) with two main advantages over existing state-of-the-art algorithms: Improved overall running speed, especial...
Petr Tichavský, Arie Yeredor, Jan Nielsen
ICASSP
2011
IEEE
12 years 11 months ago
A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems
Due to multipath delay spread and relatively high sampling rate in OFDM systems, the channel estimation is formulated as a sparse recovery problem, where a hybrid compressed sensi...
Chenhao Qi, Lenan Wu