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CORR
2008
Springer
197views Education» more  CORR 2008»
15 years 2 months ago
Sequential adaptive compressed sampling via Huffman codes
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
Akram Aldroubi, Haichao Wang, Kourosh Zarringhalam
NAA
2004
Springer
178views Mathematics» more  NAA 2004»
15 years 7 months ago
Performance Optimization and Evaluation for Linear Codes
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
Pavel Tvrdík, Ivan Simecek
CORR
2007
Springer
155views Education» more  CORR 2007»
15 years 2 months ago
Low-density graph codes that are optimal for source/channel coding and binning
We describe and analyze the joint source/channel coding properties of a class of sparse graphical codes based on compounding a low-density generator matrix (LDGM) code with a low-...
Martin J. Wainwright, Emin Martinian
101
Voted
IPPS
1998
IEEE
15 years 6 months ago
Local Enumeration Techniques for Sparse Algorithms
Several methods have been proposed in the literature for the local enumeration of dense references for arrays distributed by the CYCLIC(k) data-distributionin High Performance For...
Gerardo Bandera, Pablo P. Trabado, Emilio L. Zapat...
109
Voted
CCE
2006
15 years 2 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...