Optimized Sensing Matrix Design Based on Parseval Tight Frame and Matrix Decomposition

Journal of Communications ◽

10.12720/jcm.8.7.456-462 ◽

2013 ◽

Vol 8 (7) ◽

pp. 456-462 ◽

Author(s):

Aiping Yang ◽

Jinxia Zhang ◽

Zhengxin Hou

Keyword(s):

Matrix Decomposition ◽

Tight Frame ◽

Sensing Matrix ◽

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Binary Sensing Matrix Design for Compressive Imaging Measurements

Imaging and Applied Optics 2014 ◽

10.1364/srs.2014.sm2f.7 ◽

2014 ◽

Author(s):

Jun Ke ◽

Ping Wei ◽

Edmund Y. Lam

Keyword(s):

Sensing Matrix ◽

Compressive Imaging ◽

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Sensing matrix design for spatially-selective compressive spectral imaging

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) ◽

10.1109/stsiva.2016.7743320 ◽

2016 ◽

Author(s):

Dayanna Espinosa ◽

Samuel Pinilla ◽

Henry Arguello

Keyword(s):

Spectral Imaging ◽

Sensing Matrix ◽

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Sensing Matrix Design via Mutual Coherence Minimization for Electromagnetic Compressive Imaging Applications

IEEE Transactions on Computational Imaging ◽

10.1109/tci.2017.2671398 ◽

2017 ◽

Vol 3 (2) ◽

pp. 217-229 ◽

Author(s):

Richard Obermeier ◽

Jose Angel Martinez-Lorenzo

Keyword(s):

Mutual Coherence ◽

Sensing Matrix ◽

Compressive Imaging ◽

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Compressive Sensing Matrix Design for Fast Encoding and Decoding via Sparse FFT

IEEE Signal Processing Letters ◽

10.1109/lsp.2018.2809693 ◽

2018 ◽

Vol 25 (4) ◽

pp. 591-595 ◽

Author(s):

Sung-Hsien Hsieh ◽

Chun-Shien Lu ◽

Soo-Chang Pei

Keyword(s):

Compressive Sensing ◽

Sensing Matrix ◽

Fast Encoding ◽

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A Novel Sensing Matrix Design for Compressed Sensing via Mutual Coherence Minimization

2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) ◽

10.1109/camsap45676.2019.9022467 ◽

2019 ◽

Author(s):

Khaled Ardah ◽

Marius Pesavento ◽

Martin Haardt

Keyword(s):

Compressed Sensing ◽

Mutual Coherence ◽

Sensing Matrix ◽

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Geometric constraints in sensing matrix design for compressed sensing

Signal Processing ◽

10.1016/j.sigpro.2020.107498 ◽

2020 ◽

Vol 171 ◽

pp. 107498

Author(s):

C.H. Pimentel-Romero ◽

M. Mangia ◽

F. Pareschi ◽

R. Rovatti ◽

G. Setti

Keyword(s):

Compressed Sensing ◽

Geometric Constraints ◽

Sensing Matrix ◽

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Optimized compressed sensing matrix design for noisy communication channels

2015 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2015.7249039 ◽

2015 ◽

Author(s):

Amirpasha Shirazinia ◽

Subhrakanti Dey

Keyword(s):

Compressed Sensing ◽

Communication Channels ◽

Sensing Matrix ◽

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Single-Pixel Camera Sensing Matrix Design for Hierarchical Compressed Spectral Clustering

2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2019.8918856 ◽

2019 ◽

Author(s):

Carlos Hinojosa ◽

Jorge Bacca ◽

Edwin Vargas ◽

Sergio Castillo ◽

Henry Arguello

Keyword(s):

Spectral Clustering ◽

Sensing Matrix ◽

Single Pixel ◽

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Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2020.2973545 ◽

2020 ◽

Vol 68 ◽

pp. 1439-1454

Author(s):

Arya Bangun ◽

Arash Behboodi ◽

Rudolf Mathar

Keyword(s):

Rotation Group ◽

Sparse Recovery ◽

Sensing Matrix ◽

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Compressive sensing matrix design using principal components analysis

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP) ◽

10.1364/cosi.2017.cth1b.4 ◽

2017 ◽

Author(s):

Jonathan Monsalve ◽

Jorge Bacca ◽

Henry Arguello

Keyword(s):

Compressive Sensing ◽

Principal Components Analysis ◽

Principal Components ◽

Sensing Matrix ◽

Components Analysis ◽

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