109 citations · 287 across the 16 of their papers we have counts for
16 papers · 1 filter
Sensor Selection using the Two-Target Cramér-Rao Bound for Angle of Arrival Estimation
Costas A. Kokke, Mario Coutiño, Laura Anitori +2
Sensor selection is a useful method to help reduce data throughput, as well as computational, power, and hardware requirements, while still maintaining acceptable performance. Alth…
Revisiting Matching Pursuit: Beyond Approximate Submodularity
Ehsan Tohidi, Mario Coutino, David Gesbert
We study the problem of selecting a subset of vectors from a large set, to obtain the best signal representation over a family of functions. Although greedy methods have been widel…
Run-Time Monitors Design for Adaptive Radar Systems: A Practical Framework
Pepijn Cox, Mario Coutino, Giuseppe Papari +2
Adaptivity in multi-function radar systems is rapidly increasing, especially when moving towards fully adaptive, cognitive radar systems. However, the large number of available sys…
Kernel Design Meets Clutter Cancellation for Irregular Waveforms
Pepijn B. Cox, Mario A. Coutino, Wim L. van Rossum
Efficient clutter filtering for pulsed radar systems remains an open issue when employing pulse-to-pulse modulation and irregular pulse interval waveforms within the coherent proce…
Node-Adaptive Regularization for Graph Signal Reconstruction
Maosheng Yang, Mario Coutino, Geert Leus +1
A critical task in graph signal processing is to estimate the true signal from noisy observations over a subset of nodes, also known as the reconstruction problem. In this paper, w…
Online Time-Varying Topology Identification via Prediction-Correction Algorithms
Alberto Natali, Mario Coutino, Elvin Isufi +1
Signal processing and machine learning algorithms for data supported over graphs, require the knowledge of the graph topology. Unless this information is given by the physics of th…
Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes
Alberto Natali, Mario Coutino, Geert Leus
Data defined over a network have been successfully modelled by means of graph filters. However, although in many scenarios the connectivity of the network is known, e.g., smart gri…
Submodularity in Action: From Machine Learning to Signal Processing Applications
Ehsan Tohidi, Rouhollah Amiri, Mario Coutino +3
Submodularity is a discrete domain functional property that can be interpreted as mimicking the role of the well-known convexity/concavity properties in the continuous domain. Subm…
Joint blind calibration and time-delay estimation for multiband ranging
Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen +1
In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be f…
State-Space Based Network Topology Identification
Mario Coutino, Elvin Isufi, Takanori Maehara +1
In this work, we explore the state-space formulation of network processes to recover the underlying structure of the network (local connections). To do so, we employ subspace techn…
State-Space Network Topology Identification from Partial Observations
Mario Coutino, Elvin Isufi, Takanori Maehara +1
In this work, we explore the state-space formulation of a network process to recover, from partial observations, the underlying network topology that drives its dynamics. To do so,…
Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks
Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen +2
Synchronization and ranging in internet of things (IoT) networks are challenging due to the narrowband nature of signals used for communication between IoT nodes. Recently, several…
Advances in Distributed Graph Filtering
Mario Coutino, Elvin Isufi, Geert Leus
Graph filters are one of the core tools in graph signal processing. A central aspect of them is their direct distributed implementation. However, the filtering performance is often…
Sampling and Reconstruction of Signals on Product Graphs
Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri +1
In this paper, we consider the problem of subsampling and reconstruction of signals that reside on the vertices of a product graph, such as sensor network time series, genomic sign…
Sparse Antenna and Pulse Placement for Colocated MIMO Radar
Ehsan Tohidi, Mario Coutino, Sundeep Prabhakar Chepuri +3
Multiple input multiple output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. Although higher angular resolution, impr…
Near-Optimal Sparse Sensing for Gaussian Detection with Correlated Observations
Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
Detection of a signal under noise is a classical signal processing problem. When monitoring spatial phenomena under a fixed budget, i.e., either physical, economical or computation…