Results 1 to 10 of about 135,560 (273)

Dictionary Learning for Blind One Bit Compressed Sensing

, 2015
This letter proposes a dictionary learning algorithm for blind one bit compressed sensing. In the blind one bit compressed sensing framework, the original signal to be reconstructed from one bit linear random measurements is sparse in an unknown domain ...
Korki, Mehdi, Marvasti, Farrokh, Zayyani, Hadi   +2 more
core   +1 more source

Blockchain-Watermarking for Compressive Sensed Images

IEEE Access, 2021
With the application of multimedia big data, the problems such as information leakage and data tampering have emerged. The security of images which is one of the most typical multimedia has become a major problem facing the large-scale open network ...
Ming Li, Leilei Zeng, Le Zhao, Renlin Yang, Dezhi An, Haiju Fan   +5 more
doaj   +1 more source

Compressed Sensing

Mitteilungen der Deutschen Mathematiker-Vereinigung, 2014
Jayaraman J. Tiagarajan, Karthikeyan Natesan Ramamurthy, Pavan Turaga, Andreas Spanias   +3 more
  +8 more sources

Fast Compressed Sensing of 3D Radial T₁ Mapping with Different Sparse and Low-Rank Models

Journal of Imaging, 2023
Knowledge of the relative performance of the well-known sparse and low-rank compressed sensing models with 3D radial quantitative magnetic resonance imaging acquisitions is limited.
Antti Paajanen, Matti Hanhela, Nina Hänninen, Olli Nykänen, Ville Kolehmainen, Mikko J. Nissi   +5 more
doaj   +1 more source

Distributed Quantization for Compressed Sensing

, 2014
We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measurements of correlated sparse sources followed by joint ...
Chatterjee, Saikat, Shirazinia, Amirpasha, Skoglund, Mikael   +2 more
core   +1 more source

Compressive Imaging of Subwavelength Structures II. Periodic Rough Surfaces

, 2011
A compressed sensing scheme for near-field imaging of corrugations of relative sparse Fourier components is proposed. The scheme employs random sparse measurement of near field to recover the angular spectrum of the scattered field.
Albert Fannjiang, Arens, Arens, Ash, Beckmann, Candès, Candès, Chen, Derveaux, DeSanto, Deutsch, Donoho, Fannjiang, Garcia, Hecht, Hsiao-Chieh Tseng, Ivanyshyn, Keller, Khuri-Yakub, Lewis, Meier, Millar, Millar, Nieto-Vesperinas, Pohl, Rauhut, Riedera, Schatzberg, Sun, Uretsky, Wombell, Wombell, Yapar   +32 more
core   +1 more source

Compressed Sensing for Biomedical Photoacoustic Imaging: A Review

Sensors
Photoacoustic imaging (PAI) is a rapidly developing emerging non-invasive biomedical imaging technique that combines the strong contrast from optical absorption imaging and the high resolution from acoustic imaging.
Yuanmao Wang, Yang Chen, Yongjian Zhao, Siyu Liu   +3 more
doaj   +1 more source

Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields

IEEE Access, 2020
Compressed Sensing (CS) is a new signal processing theory under the condition that the signal is sparse or compressible. One of the central problems in compressed sensing is the construction of sensing matrices.
Xuemei Liu, Lihua Jia
doaj   +1 more source

Nonconvex compressive video sensing [PDF]

Journal of Electronic Imaging, 2016
High-speed cameras explore more details than normal cameras in the time sequence, while the conventional video sampling suffers from the trade-off between temporal and spatial resolutions due to the sensor's physical limitation. Compressive sensing overcomes this obstacle by combining the sampling and compression procedures together.
Liangliang, Chen, Ming, Yan, Chunqi, Qian, Ning, Xi, Zhanxin, Zhou, Yongliang, Yang, Bo, Song, Lixin, Dong   +7 more
openaire   +2 more sources

From compression to compressed sensing

, 2013
Can compression algorithms be employed for recovering signals from their underdetermined set of linear measurements? Addressing this question is the first step towards applying compression algorithms for compressed sensing (CS).
Jalali, Shirin, Maleki, Arian
core   +1 more source