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ICASSP
2010
IEEE
15 years 7 months ago
Multiple frequency-hopping signal estimation via sparse regression
Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signa...
Daniele Angelosante, Georgios B. Giannakis, Nichol...
JMLR
2006
138views more  JMLR 2006»
15 years 6 months ago
Noisy-OR Component Analysis and its Application to Link Analysis
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Tomás Singliar, Milos Hauskrecht
SIAMIS
2008
116views more  SIAMIS 2008»
15 years 6 months ago
Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
This paper introduces a new approach to the problem of quantitative reconstruction of an object from few radiographic views. A mixed variable programming problem is formulated in ...
Mark A. Abramson, Thomas J. Asaki, J. E. Dennis, K...
TCBB
2008
113views more  TCBB 2008»
15 years 6 months ago
Efficient Algorithms for the Computational Design of Optimal Tiling Arrays
The representation of a genome by oligonucleotide probes is a prerequisite for the analysis of many of its basic properties, such as transcription factor binding sites, chromosomal...
Alexander Schliep, Roland Krause
TSP
2008
124views more  TSP 2008»
15 years 6 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...