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07/04/2023
Integrated Sensing and Communication with MOCZ Waveform
In this work, we propose a waveform based on Modulation on Conjugate-rec...
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04/07/2023
A physics-informed neural network framework for modeling obstacle-related equations
Deep learning has been highly successful in some applications. Neverthel...
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02/09/2023
On Discovering Interesting Combinatorial Integer Sequences
We study the problem of generating interesting integer sequences with a ...
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10/11/2022
Estimation of Doubly-Dispersive Channels in Linearly Precoded Multicarrier Systems Using Smoothness Regularization
In this paper, we propose a novel channel estimation scheme for pulse-sh...
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09/28/2022
Algorithm Unfolding for Block-sparse and MMV Problems with Reduced Training Overhead
In this paper we consider algorithm unfolding for the Multiple Measureme...
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02/07/2022
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery
Countless signal processing applications include the reconstruction of s...
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09/21/2021
Pilot-Based Unsourced Random Access with a Massive MIMO Receiver: Interference Cancellation and Power Control
In this work we treat the unsourced random access problem on a Rayleigh ...
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09/02/2021
Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent
The projected gradient descent (PGD) method has shown to be effective in...
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07/07/2021
A Survey of Uncertainty in Deep Neural Networks
Due to their increasing spread, confidence in neural network predictions...
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06/08/2021
Proof methods for robust low-rank matrix recovery
Low-rank matrix recovery problems arise naturally as mathematical formul...
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06/07/2021
Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing
We address the detection of material defects, which are inside a layered...
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04/21/2021
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
This paper presents deep unfolding neural networks to handle inverse pro...
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01/27/2021
Super-Resolution for Doubly-Dispersive Channel Estimation
In this work we consider the problem of identification and reconstructio...
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12/07/2020
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Block-sparse regularization is already well-known in active thermal imag...
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12/06/2020
Pilot-Based Unsourced Random Access with a Massive MIMO Receiver, MRC and Polar Codes
In this work we treat the unsourced random access problem on a Rayleigh ...
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11/18/2020
Plug-And-Play Learned Gaussian-mixture Approximate Message Passing
Deep unfolding showed to be a very successful approach for accelerating ...
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10/24/2020
Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks
Spot welding is a crucial process step in various industries. However, c...
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10/05/2020
Neurally Augmented ALISTA
It is well-established that many iterative sparse reconstruction algorit...
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08/19/2020
Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels
We consider the problem of sparse signal recovery from noisy measurement...
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07/17/2020
Practical High-Throughput, Non-Adaptive and Noise-Robust SARS-CoV-2 Testing
We propose a compressed sensing-based testing approach with a practical ...
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07/16/2020
DeepInit Phase Retrieval
This paper shows how data-driven deep generative models can be utilized ...
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06/09/2020
Sensor Artificial Intelligence and its Application to Space Systems – A White Paper
Information and communication technologies have accompanied our everyday...
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03/29/2020
Efficient Noise-Blind â„“_1-Regression of Nonnegative Compressible Signals
In compressed sensing the goal is to recover a signal from as few as pos...
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03/26/2020
Robust Recovery of Sparse Nonnegative Weights from Mixtures of Positive-Semidefinite Matrices
We consider a structured estimation problem where an observed matrix is ...
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01/13/2020
Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity
Unsourced random-access (U-RA) is a type of grant-free random access wit...
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11/30/2019
Grant-Free Massive Random Access With a Massive MIMO Receiver
We consider the problem of unsourced random access (U-RA), a grant-free ...
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10/24/2019
Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive MIMO Receiver
In this paper, we study the problem of user activity detection and large...
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05/22/2019
On the Restricted Isometry Property of Centered Self Khatri-Rao Products
In this work we establish the Restricted Isometry Property (RIP) of the ...
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04/16/2019
Simultaneous structures in convex signal recovery - revisiting the convex combination of norms
In compressed sensing one uses known structures of otherwise unknown sig...
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03/21/2019
Reconstruction Methods in THz Single-pixel Imaging
The aim of this paper is to discuss some advanced aspects of image recon...
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02/08/2019
MOCZ for Blind Short-Packet Communication: Some Practical Aspects
We will investigate practical aspects for a recently introduced blind (n...
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01/18/2019
SPARCs for Unsourced Random Access
This paper studies the optimal achievable performance of compressed sens...
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01/17/2019
Sparse Non-Negative Recovery from Biased Subgaussian Measurements using NNLS
We investigate non-negative least squares (NNLS) for the recovery of spa...
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01/03/2019
Massive MIMO Unsourced Random Access
We consider an extension of the massive unsourced random access original...
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12/19/2018
Derandomizing compressed sensing with combinatorial design
Compressed sensing is the art of reconstructing structured n-dimensional...
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05/21/2018
Noncoherent Short-Packet Communication via Modulation on Conjugated Zeros
We introduce a novel blind (noncoherent) communication scheme, called mo...
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04/05/2018
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
The fifth generation of cellular communication systems is foreseen to en...
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03/09/2018
The Szegö-Asymptotics for Doubly-Dispersive Gaussian Channels
We consider the time-continuous doubly--dispersive channel with additive...
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03/06/2018