activity
20182022
most citedConstellations on the Sphere with Efficient Encoding-Decoding for Noncoherent Communications

1 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.IT2022

Statistical characterization of the chordal product determinant of Grassmannian codes

Javier Álvarez-Vizoso, Carlos Beltrán, Diego Cuevas +3

We consider the chordal product determinant, a measure of the distance between two subspaces of the same dimension. In information theory, collections of elements in the complex Gr…

math.DG2022

Curvature of the Gauss map for normally flat submanifolds in space forms

Javier Álvarez-Vizoso

For a submanifold with flat normal bundle in a space form there is a normal orthonormal basis that simultaneously diagonalizes the corresponding Weingarten operators, and at which…

cs.IT2022★ 1 cited

Constellations on the Sphere with Efficient Encoding-Decoding for Noncoherent Communications

Javier Álvarez-Vizoso, Carlos Beltrán, Ignacio Santamaria +2

In this paper, we propose a new structured Grassmannian constellation for noncoherent communications over single-input multiple-output (SIMO) Rayleigh block-fading channels. The co…

cs.IT2022★ 1 cited

Constrained Riemannian Noncoherent Constellations for the MIMO Multiple Access Channel

Javier Álvarez-Vizoso, Diego Cuevas, Carlos Beltrán +3

We consider the design of multiuser constellations for a multiple access channel (MAC) with K users, with M antennas each, that transmit simultaneously to a receiver equipped with…

physics.flu-dyn2020

On the existence of shear-current effects in magnetized burgulence

Maarit J. Käpylä, Javier Álvarez Vizoso, Matthias Rheinhardt +2

The possibility of explaining shear flow dynamos by a magnetic shear-current (MSC) effect is examined via numerical simulations. Our primary diagnostics is the determination of the…

math.DG2018

Integral Invariants from Covariance Analysis of Embedded Riemannian Manifolds

Javier Álvarez-Vizoso, Michael Kirby, Chris Peterson

Principal Component Analysis can be performed over small domains of an embedded Riemannian manifold in order to relate the covariance analysis of the underlying point set with the…