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» On the Processing of Decimated Signals
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ICASSP
2010
IEEE
13 years 9 months ago
Large margin filtering for Signal Sequence Labeling
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
Rémi Flamary, Benjamin Labbé, Alain ...
ICASSP
2010
IEEE
13 years 9 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
ICASSP
2010
IEEE
13 years 4 months ago
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity
An operational framework is developed for testing stationarity relatively to an observation scale. The proposed method makes use of a family of stationary surrogates for defining ...
Cédric Richard, André Ferrari, Hassa...
ICASSP
2011
IEEE
13 years 1 months ago
Rotation invariant feature extraction from 3-D acceleration signals
In this paper, we propose a method to extract features from three-dimensional acceleration signals. The proposed method is based on the (auto-)correlation matrix of Fourier transf...
Takumi Kobayashi, Kôiti Hasida, Nobuyuki Ots...
ICASSP
2011
IEEE
13 years 1 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley