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TSP
2011
170views more  TSP 2011»
14 years 4 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
ICASSP
2009
IEEE
15 years 4 months ago
Compressive confocal microscopy
In this paper, a new approach for Confocal Microscopy (CM) based on the framework of compressive sensing is developed. In the proposed approach, a point illumination and a random ...
Peng Ye, José L. Paredes, Gonzalo R. Arce, ...
ICA
2004
Springer
15 years 3 months ago
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfg...
BIB
2008
88views more  BIB 2008»
14 years 9 months ago
An overview of image-processing methods for Affymetrix GeneChips
We present an overview of image-processing methods for Affymetrix GeneChips. All GeneChips are affected to some extent by spatially coherent defects and image processing has a num...
Jose M. Arteaga-Salas, Harry Zuzan, William B. Lan...
SIAMMAX
2011
141views more  SIAMMAX 2011»
14 years 12 days ago
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme
Higher-order tensors are used in many application fields, such as statistics, signal processing, and scientific computing. Efficient and reliable algorithms for manipulating thes...
Mariya Ishteva, Pierre-Antoine Absil, Sabine Van H...