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10/20/2022
Bisparse Blind Deconvolution through Hierarchical Sparse Recovery
The bi-sparse blind deconvolution problem is studied – that is, from the...
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09/28/2022
Scalably learning quantum many-body Hamiltonians from dynamical data
The physics of a closed quantum mechanical system is governed by its Ham...
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11/05/2021
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
The blind deconvolution problem amounts to reconstructing both a signal ...
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05/07/2021
Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access
A new family of operators, coined hierarchical measurement operators, is...
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04/06/2021
Hierarchical compressed sensing
Compressed sensing is a paradigm within signal processing that provides ...
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06/04/2020
Semi-device-dependent blind quantum tomography
Extracting tomographic information about quantum states is a crucial tas...
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05/20/2020
Hierarchical sparse recovery from hierarchically structured measurements
A new class of measurement operators for structured compressed sensing p...
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06/07/2018
Performance of Hierarchical Sparse Detectors for Massive MTC
Recently, the Hierarchical Hard Thresholding Pursuit (HiHTP) algorithm w...
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06/03/2018
Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO
The problem of excessive pilot overhead required for uplink massive MIMO...
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03/29/2018
Hierarchical Sparse Channel Estimation for Massive MIMO
The problem of wideband massive MIMO channel estimation is considered. T...
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03/01/2018
Recovering quantum gates from few average gate fidelities
Characterising quantum processes is a key task in and constitutes a chal...
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01/29/2018