51 citations · 168 across the 23 of their papers we have counts for
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eess.SP2024
Dequantization of a signal from two parallel quantized observations
Vojtěch Kovanda, Pavel Rajmic
We propose a technique of signal acquisition using a combination of two devices with different sampling rates and quantization accuracies. Subsequent processing involving sparsity…
eess.SP2023
Improving DCE-MRI through unfolded low-rank + sparse optimisation
Ondřej Mokrý, Jiří Vitouš, Pavel Rajmic +1
A method for perfusion imaging with DCE-MRI is developed based on two popular paradigms: the low-rank + sparse model for optimisation-based reconstruction, and the deep unfolding.…
eess.SP2020★ 4 cited
Sparse and Cosparse Audio Dequantization Using Convex Optimization
Pavel Záviška, Pavel Rajmic
The paper shows the potential of sparsity-based methods in restoring quantized signals. Following up on the study of Brauer et al. (IEEE ICASSP 2016), we significantly extend the r…