A new class of disturbance covariance matrix estimators for radar signal processing
applications is introduced following a geometric paradigm. Each estimator is associated with …

We propose a generic spatiotemporal framework to analyze manifold-valued
measurements, which allows for employing an intrinsic and computationally efficient …

Statistical analysis of dynamic systems, such as videos and dynamic functional connectivity,
is often translated into a problem of analyzing trajectories of relevant features, particularly …

The authors address the estimation of the scatter matrix of a scale mixture of Gaussian
stationary autoregressive (AR) vectors. This is equivalent to consider the estimation of a …

The rich information in the power spectral density (PSD) matrix of a received signal can be
extracted in different ways for various purposes in signal processing. Care, however, must …

The problems of analysis and modeling of spherical trajectories, that is, continuous
longitudinal data on S 2, are important in several disciplines. These problems are …

Of concern is the study of the space of curves in homogeneous spaces. Motivated by
applications in shape analysis we identify two curves if they only differ by their …

In this paper we study the shape space of curves with values in a homogeneous space M=
G/K, where G is a Lie group and K is a compact Lie subgroup. We generalize the square root …

We are concerned with the comparison of the shapes of open smooth curves that take their
values in a Riemannian manifold M. To this end, we introduce a reparameterization invariant …

We introduce a new statistical model for clustering populations of functions and
multidimensional curves where the domain is a real interval I. We consider that we are given …