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CSDA
2007
102views more  CSDA 2007»
14 years 12 months ago
On the robust detection of edges in time series filtering
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
Roland Fried
IGARSS
2009
14 years 9 months ago
Complex Wavelet Regularization for Solving Inverse Problems in Remote Sensing
Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient...
Mikael Carlavan, Pierre Weiss, Laure Blanc-F&eacut...
INTERSPEECH
2010
14 years 6 months ago
Asymptotically exact noise-corrupted speech likelihoods
Model compensation techniques for noise-robust speech recognition approximate the corrupted speech distribution. This paper introduces a sampling method that, given speech and noi...
Rogier C. van Dalen, Mark J. F. Gales
ICML
2009
IEEE
16 years 20 days ago
Detecting the direction of causal time series
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
Arthur Gretton, Bernhard Schölkopf, Dominik J...
ICASSP
2008
IEEE
15 years 6 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...