This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
We present a novel method to model and estimate elastic geometric deformations of an observed object, whether they are caused by the object’s own dynamic behavior, or by the dyn...
We propose a correlogram-based time delay estimation method using signals modeled as the output of the cochlea, where the low-level signal processing happens in the human auditory...
The noise power gain (NPG) is addressed and the error bound (EB) is specified via NPG for a general p-shift linear timevariant finite impulse response (FIR) transversal estimato...