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   Articles with "restricted isometry" as a keyword



AdaCS: Adaptive Compressive Sensing With Restricted Isometry Property-Based Error-Clamping

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recommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2024.3357704

Abstract: Scene-dependent adaptive compressive sensing (CS) has been a long pursuing goal that has huge potential to significantly improve the performance of CS. However, with no access to the ground truth, how to design the scene-dependent… read more here.

Keywords: based error; adaptive compressive; isometry property; compressive sensing ... See more keywords

Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces

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recommendations! Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2017.2778685

Abstract: Dimension reduction plays an essential role when decreasing the complexity of solving large-scale problems. The well-known Johnson–Lindenstrauss (JL) lemma and restricted isometry property (RIP) admit the use of random projection to reduce the dimension while… read more here.

Keywords: restricted isometry; random projection; isometry property; gaussian random ... See more keywords

Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces

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recommendations! Published in 2020 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2020.2984905

Abstract: Dimensionality reduction is a popular approach to tackle high-dimensional data with low-dimensional nature. Subspace Restricted Isometry Property, a newly-proposed concept, has proved to be a useful tool in analyzing the effect of dimensionality reduction algorithms… read more here.

Keywords: isometry property; subspace restricted; near isometry; restricted isometry ... See more keywords

Sparse distributed sensor placement via statistical restricted isometry property

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recommendations! Published in 2017 at "Journal of the Acoustical Society of America"

DOI: 10.1121/1.4988559

Abstract: Perfect sensor coverage of large ocean volumes is an intractable problem for small N systems. Instead, this paper presents optimal placement of relatively few sensors in order to achieve coherent array processing. The sensor placement… read more here.

Keywords: restricted isometry; statistical restricted; sensor placement; placement ... See more keywords