24 citations · 48 across the 21 of their papers we have counts for
26 papers · 1 filter
Jointly optimal array geometries and waveforms in active sensing: New insights into array design via the Cramér-Rao bound
Ids van der Werf, Robin Rajamäki, Geert Leus
This paper investigates jointly optimal array geometry and waveform designs for active sensing. Specifically, we focus on minimizing the Cramér-Rao lower bound (CRB) of the angle o…
Tracking Network Dynamics using Probabilistic State-Space Models
Victor M. Tenorio, Elvin Isufi, Geert Leus +1
This paper introduces a probabilistic approach for tracking the dynamics of unweighted and directed graphs using state-space models (SSMs). Unlike conventional topology inference m…
Forecasting Graph Signals with Recursive MIMO Graph Filters
Jelmer van der Hoeven, Alberto Natali, Geert Leus
Forecasting time series on graphs is a fundamental problem in graph signal processing. When each entity of the network carries a vector of values for each time stamp instead of a s…
Blind Polynomial Regression
Alberto Natali, Geert Leus
Fitting a polynomial to observed data is an ubiquitous task in many signal processing and machine learning tasks, such as interpolation and prediction. In that context, input and o…
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation
Hamed Masoumi, Nitin Jonathan Myers, Geert Leus +2
Fast millimeter wave (mmWave) channel estimation techniques based on compressed sensing (CS) suffer from low signal-to-noise ratio (SNR) in the channel measurements, due to the use…
Self Calibration of Scalar and Vector Sensor Arrays
Krishnaprasad Nambur Ramamohan, Sundeep Prabhakar Chepuri, Daniel Fernandez Comesana +1
In this work, we consider the problem of joint calibration and direction-of-arrival (DOA) estimation using sensor arrays. This joint estimation problem is referred to as self calib…