Sjoerd Dirksen - researchr alias

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Viewing Publication 1 - 10 from 10

2024

Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO SystemsTianyu Yang 0002, Johannes Maly, Sjoerd Dirksen, Giuseppe Caire. tcom, 72(1):387-402, January 2024. [doi]

Fast Metric Embedding into the Hamming CubeSjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk. SICOMP, 53(2):315-345, 2024. [doi]

Tuning-Free One-Bit Covariance Estimation Using Data-Driven DitheringSjoerd Dirksen, Johannes Maly. TIT, 70(7):5228-5247, July 2024. [doi]

2022

Sharp Estimates on Random Hyperplane TessellationsSjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk. simods, 4(4):1396-1419, December 2022. [doi]

The Separation Capacity of Random Neural NetworksSjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk. jmlr, 23, 2022. [doi]

2018

Fast Binary Embeddings with Gaussian Circulant Matrices: Improved BoundsSjoerd Dirksen, Alexander Stollenwerk. dcg, 60(3):599-626, 2018. [doi]

Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothnessSjoerd Dirksen, Tino Ullrich. jc, 48:69-102, 2018. [doi]

On the Gap Between Restricted Isometry Properties and Sparse Recovery ConditionsSjoerd Dirksen, Guillaume Lecué, Holger Rauhut. TIT, 64(8):5478-5487, 2018. [doi]

2016

Dimensionality Reduction with Subgaussian Matrices: A Unified TheorySjoerd Dirksen. focm, 16(5):1367-1396, 2016. [doi]

2015

Toward a Unified Theory of Sparse Dimensionality Reduction in Euclidean SpaceJean Bourgain, Sjoerd Dirksen, Jelani Nelson. stoc 2015: 499-508 [doi]

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