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» A subdivision-based algorithm for the sparse resultant
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ICASSP
2008
IEEE
14 years 3 months ago
Frequency domain selective tap adaptive algorithms for sparse system identification
We propose a new low complexity and fast converging frequencydomain adaptive algorithm for sparse system identification. This is achieved by exploiting the MMax and SP tap-select...
Andy W. H. Khong, Xiang Lin, Milos Doroslovacki, P...
ISCIS
2004
Springer
14 years 2 months ago
A Tabu Search Algorithm for Sparse Placement of Wavelength Converters in Optical Networks
Abstract. In this paper, we study the problem of placing limited number of wavelength converting nodes in a multi-fiber network with static traffic demands and propose a tabu sear...
Namik Sengezer, Ezhan Karasan
MA
2010
Springer
94views Communications» more  MA 2010»
13 years 7 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 3 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
PPOPP
2009
ACM
14 years 9 months ago
An efficient transactional memory algorithm for computing minimum spanning forest of sparse graphs
Due to power wall, memory wall, and ILP wall, we are facing the end of ever increasing single-threaded performance. For this reason, multicore and manycore processors are arising ...
Seunghwa Kang, David A. Bader