Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis
2022
Proof Methods for Robust Low-Rank Matrix Recovery
Compressed Sensing in Information Processing
Springer International Publishing
2022
Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps
SIAM Journal on Matrix Analysis and Applications
2022
43
2
939-952
On the robustness of noise-blind low-rank recovery from rank-one measurements
Linear Algebra and its Applications
2022
652
37-81
The Hanson–Wright inequality for random tensors
Sampling Theory, Signal Processing, and Data Analysis
2022
20
2
Johnson–Lindenstrauss Embeddings with Kronecker Structure
SIAM Journal on Matrix Analysis and Applications
2022
43
4
1806-1850
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments
IEEE Transactions on Signal Processing
2022
70
616-630
Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC
IEEE Transactions on Signal Processing
2022
70
1131-1141
Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC
IEEE Transactions on Signal Processing
2022
70
1131-1141