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» An FPGA Implementation for Solving Least Square Problem
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ICASSP
2009
IEEE
14 years 2 months ago
MIMO decoding based on stochastic reconstruction from multiple projections
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Amir Leshem, Jacob Goldberger
FCCM
2005
IEEE
142views VLSI» more  FCCM 2005»
14 years 1 months ago
FPGA-Based Vector Processing for Solving Sparse Sets of Equations
The solution to a set of sparse linear equations Ax = b, where A is an n×n sparse matrix and b is an n-element vector, can be obtained using the W-matrix method. An enhanced vect...
Muhammad Z. Hasan, Sotirios G. Ziavras
SIAMJO
2008
108views more  SIAMJO 2008»
13 years 7 months ago
Sparse SOS Relaxations for Minimizing Functions that are Summations of Small Polynomials
This paper discusses how to find the global minimum of functions that are summations of small polynomials ("small" means involving a small number of variables). Some spa...
Jiawang Nie, James Demmel
IPPS
2006
IEEE
14 years 1 months ago
Parallel FPGA-based all-pairs shortest-paths in a directed graph
With rapid advances in VLSI technology, Field Programmable Gate Arrays (FPGAs) are receiving the attention of the Parallel and High Performance Computing community. In this paper,...
Uday Bondhugula, Ananth Devulapalli, Joseph Fernan...
CODES
2007
IEEE
14 years 2 months ago
Secure FPGA circuits using controlled placement and routing
In current Field-Programmable-Logic Architecture (FPGA) design flows, it is very hard to control the routing of submodules. It is thus very hard to make an identical copy of an ex...
Pengyuan Yu, Patrick Schaumont