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20172020
most citedMultiple Importance Sampling for Efficient Symbol Error Rate Estimation

17 citations · 17 across the 1 of their papers we have counts for

collaborators

6 papers

eess.SP2020

Improper Gaussian Signaling for the -user MIMO Interference Channels with Hardware Impairments

Mohammad Soleymani, Ignacio Santamaria, Peter J. Schreier

This paper investigates the performance of improper Gaussian signaling (IGS) for the -user multiple-input, multiple-output (MIMO) interference channel (IC) with hardware impairm…

cs.IT201917 cited

Multiple Importance Sampling for Efficient Symbol Error Rate Estimation

Víctor Elvira, Ignacio Santamaría

Digital constellations formed by hexagonal or other non-square two-dimensional lattices are often used in advanced digital communication systems. The integrals required to evaluate…

eess.SP2019

Improper Signaling for SISO Two-user Interference Channels with Additive Asymmetric Hardware Distortion

Mohammad Soleymani, Christian Lameiro, Ignacio Santamaria +1

Hardware non-idealities are among the main performance restrictions for upcoming wireless communication systems. Asymmetric hardware distortions (HWD) happen when the impairments o…

eess.SP2019

Robust Improper Signaling for Two-user SISO Interference Channels

Mohammad Soleymani, Christian Lameiro, Ignacio Santamaria +1

It has been shown that improper Gaussian signaling (IGS) can improve the performance of wireless interference-limited systems when perfect channel state information (CSI) is availa…

cs.LG2018

Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space

Steven Van Vaerenbergh, Ignacio Santamaria, Victor Elvira +1

In this paper, we study the problem of locating a predefined sequence of patterns in a time series. In particular, the studied scenario assumes a theoretical model is available tha…

stat.ML2017

Recursive Multikernel Filters Exploiting Nonlinear Temporal Structure

Steven Van Vaerenbergh, Simone Scardapane, Ignacio Santamaria

In kernel methods, temporal information on the data is commonly included by using time-delayed embeddings as inputs. Recently, an alternative formulation was proposed by defining a…