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CORR
2011
Springer
190views Education» more  CORR 2011»
12 years 11 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
ISQED
2007
IEEE
146views Hardware» more  ISQED 2007»
14 years 1 months ago
Parameter-Variation-Aware Analysis for Noise Robustness
This paper studies the impact of variability on the noise robustness of logic gates using noise rejection curves (NRCs). NRCs allow noise pulses to be modeled using magnitude-dura...
Mosin Mondal, Kartik Mohanram, Yehia Massoud
WSC
1998
13 years 9 months ago
Risk Analysis of Robust System Design
Robustness has become a popular issue in engineering. For products, Taguchi suggests to adjust the design so that product performance is insensitive to the effects of uncontrolled...
E. G. A. Gaury, Jack P. C. Kleijnen
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 11 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ICASSP
2011
IEEE
12 years 11 months ago
Robust underdetermined blind audio source separation of sparse signals in the time-frequency domain
We address the problem of blind source separation in the underdetermined and instantaneous mixture case. The proposed method is based on an algorithm developed by Aissa-El-Bey and...
Si-Mohamed Aziz Sbai, Abdeldjalil Aïssa-El-Be...