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20212024
most citedExtended Successive Convex Approximation for Phase Retrieval with Dictionary Learning

7 citations · 12 across the 5 of their papers we have counts for

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5 papers

eess.SP2024

Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays

Tianyi Liu, Sai Pavan Deram, Khaled Ardah +3

Spatial frequency estimation from a mixture of noisy sinusoids finds applications in various fields. While subspace-based methods offer cost-effective super-resolution parameter es…

eess.SP2024★ 5 cited

A tensor model for the calibration of air-coupled ultrasonic sensor arrays in 3D imaging

Raphael Müller, Gianni Allevato, Matthias Rutsch +4

Arrays of ultrasonic sensors are capable of 3D imaging in air and an affordable supplement to other sensing modalities, such as radar, lidar, and camera, i.e. in heterogeneous sens…

eess.SP2023

Maximum A Posteriori Direction-of-Arrival Estimation via Mixed-Integer Semidefinite Programming

Tianyi Liu, Frederic Matter, Alexander Sorg +3

We propose a joint sparse maximum a posteriori (MAP) estimator for DOA estimation from multiple snapshots, reformulated as a mixed-integer semidefinite program (MISDP). This enable…

eess.SP2021★ 7 cited

Extended Successive Convex Approximation for Phase Retrieval with Dictionary Learning

Tianyi Liu, Andreas M. Tillmann, Yang Yang +2

Phase retrieval aims at reconstructing unknown signals from magnitude measurements of linear mixtures. In this paper, we consider the phase retrieval with dictionary learning probl…

cs.IR2021

Recovery under Side Constraints

Khaled Ardah, Martin Haardt, Tianyi Liu +3

This paper addresses sparse signal reconstruction under various types of structural side constraints with applications in multi-antenna systems. Side constraints may result from pr…