Efficient and robust compressed sensing using high-quality expander graphs
… k-sparse signals simpler we will use a high quality expander graph which is right-regular as
… expanders from any expander graph without disturbing its characteristics (lemma 2.3 in [4]. …
… expanders from any expander graph without disturbing its characteristics (lemma 2.3 in [4]. …
Performance bounds for expander-based compressed sensing in Poisson noise
M Raginsky, S Jafarpour, ZT Harmany… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
… compressed sensing literature are no longer applicable. In this paper, we develop a novel
sensing paradigm based on expander graphs … “Efficient and robust compressed sensing using …
sensing paradigm based on expander graphs … “Efficient and robust compressed sensing using …
Vanishingly sparse matrices and expander graphs, with application to compressed sensing
… of expander graphs, the matrices we consider, and sampling theorems of some selected
compressed sensing … Calderbank, “Efficient and robust compressed sensing using high-quality …
compressed sensing … Calderbank, “Efficient and robust compressed sensing using high-quality …
Optimized selection of random expander graphs for Compressive Sensing
Z Wu, Q Wang, Y Shen, J Liu - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
… An expander graph we study is an unbalanced bipartite simple graph which has quite sparse
… It is a remarkable fact that such high-quality expanders exist although they are hard to …
… It is a remarkable fact that such high-quality expanders exist although they are hard to …
[CITATION][C] Effi cient Compressed Sensing using Lossless Expander Graphs with Fast Bilat $ eral Quantum Recovery Algorithm
S Jafarpour - arXiv preprint arXiv:0806.3799, 2008 - Citeseer
Low-cost and high-throughput testing of COVID-19 viruses and antibodies via compressed sensing: System concepts and computational experiments
… matrices for compressed sensing applied to this purpose. In particular, we propose to use
expander graph based … Efficient and robust compressed sensing using high-quality expander …
expander graph based … Efficient and robust compressed sensing using high-quality expander …
Combining geometry and combinatorics: A unified approach to sparse signal recovery
… compression is of key importance is compressed sensing [… can be constructed using
high-quality expanders. The formal … if A is an adjacency matrix of an expander graph, then the LP …
high-quality expanders. The formal … if A is an adjacency matrix of an expander graph, then the LP …
Sparse recovery of nonnegative signals with minimal expansion
… that it is both optimal and robust to noise (Section 6). One … expander graphs in the context
of compressed sensing, we require a much smaller expansion coefficient in order to be effective…
of compressed sensing, we require a much smaller expansion coefficient in order to be effective…
Compressed sensing and sparsity in photoacoustic tomography
… high quality Fabry–Perot sensors with highly uniform sensor properties. For non-contact
schemes, … Stable and robust recovery of sparse vectors requires the measurement matrix to well …
schemes, … Stable and robust recovery of sparse vectors requires the measurement matrix to well …
Two-part reconstruction in compressed sensing
… matrices based on expander graphs have been shown to … problem by utilizing a high quality
CS reconstruction algorithm. … Calderbank, “Efficient and robust compressed sensing using …
CS reconstruction algorithm. … Calderbank, “Efficient and robust compressed sensing using …