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01/25/2023
An Efficient Approximate Method for Online Convolutional Dictionary Learning
Most existing convolutional dictionary learning (CDL) algorithms are bas...
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11/03/2022
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques
Beamforming is a signal processing technique to steer, shape, and focus ...
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03/18/2022
Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion
Simultaneous sparse approximation (SSA) seeks to represent a set of depe...
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03/15/2022
Graph Neural Network Sensitivity Under Probabilistic Error Model
Graph convolutional networks (GCNs) can successfully learn the graph sig...
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09/07/2021
Efficient ADMM-based Algorithms for Convolutional Sparse Coding
Convolutional sparse coding improves on the standard sparse approximatio...
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02/17/2021
Coupled Feature Learning for Multimodal Medical Image Fusion
Multimodal image fusion aims to combine relevant information from images...
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01/29/2021
DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition with Vandermonde Factor Matrix
We address the problem of tensor decomposition in application to directi...
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08/24/2020
Graph Signal Processing Meets Blind Source Separation
In graph signal processing (GSP), prior information on the dependencies ...
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07/30/2020
Joint DOD and DOA Estimation in Slow-Time MIMO Radar via PARAFAC Decomposition
We develop a new tensor model for slow-time multiple-input multiple outp...
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11/29/2019
Lossless Size Reduction for Integer Least Squares with Application to Sphere Decoding
Minimum achievable complexity (MAC) for a maximum likelihood (ML) perfor...
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04/11/2019
Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar
Joint communication and radar (JCR) waveforms with fully digital baseban...
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03/20/2019
Modelling Graph Errors: Towards Robust Graph Signal Processing
The first step for any graph signal processing (GSP) procedure is to lea...
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05/22/2018
Joint Detection and Localization of an Unknown Number of Sources Using Algebraic Structure of the Noise Subspace
Source localization and spectral estimation are among the most fundament...
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02/05/2018
Covariance Matrix Estimation for Massive MIMO
We propose a novel pilot structure for covariance matrix estimation in m...
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05/30/2017
