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SIAMNUM
2010
140views more  SIAMNUM 2010»
13 years 1 months ago
Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
Mihály Kovács, Stig Larsson, Fardin ...
ICASSP
2010
IEEE
13 years 1 months ago
Robust frequency-based Audio Fingerprinting
Pure frequency-based audio fingerprint systems have the capacity of handling very short fingerprints while being highly robust to perturbations such as additive noise or compressi...
Elsa Dupraz, Gaël Richard
JMLR
2011
187views more  JMLR 2011»
13 years 1 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
SIVP
2010
184views more  SIVP 2010»
13 years 4 months ago
Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue
In various applications from radar processing to mobile communication systems based on CDMA for instance, M-AR multichannel processes are often considered and may be combined with...
Julien Petitjean, Eric Grivel, William Bobillet, P...
MOC
2000
76views more  MOC 2000»
13 years 6 months ago
Optimal approximation of stochastic differential equations by adaptive step-size control
We study the pathwise (strong) approximation of scalar stochastic differential equations with respect to the global error in the L2-norm. For equations with additive noise we estab...
Norbert Hofmann, Thomas Müller-Gronbach, Klau...
BMCBI
2004
90views more  BMCBI 2004»
13 years 6 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
IJBC
2006
65views more  IJBC 2006»
13 years 6 months ago
Noise-Sensitivity in Machine Tool Vibrations
We consider the effect of random variation in the material parameters in a model for machine tool vibrations, specifically regenerative chatter. We show that fluctuations in these...
E. Buckwar, R. Kuske, B. L'esperance, T. Soo
SSWMC
2004
13 years 7 months ago
Fast additive noise steganalysis
This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman. The additive noise model assumes that the stegoimage is crea...
Jeremiah J. Harmsen, Kevin D. Bowers, William A. P...
SCALESPACE
2001
Springer
13 years 10 months ago
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered imag...
Pavel Mrázek
IIHMSP
2006
IEEE
100views Multimedia» more  IIHMSP 2006»
14 years 12 days ago
An Improved Technique for Blind Audio Source Separation
A blind audio source separation technique with an ill-posed mixing matrix and additive noise is proposed in this work. With this technique, we divide the solution into two steps. ...
Namgook Cho, Yu Shiu, C. C. Jay Kuo