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 ...
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...
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...
An interference-free representation of the instantaneous frequency of constituent harmonic components of periodic signals is introduced. The power weighted average instantaneous f...
We consider the problem of large-scale video classification. Our attention is focused on online video services since they can provide rich cross-video signals derived from user b...