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Compressive sensing: from "compressing while sampling" to "compressing and securing while sampling".

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2010
In a traditional signal processing system sampling is carried out at a frequency which is at least twice the highest frequency component found in the signal. This is in order to guarantee that complete signal recovery is later on possible. The sampled signal can subsequently be subjected to further processing leading to, for example, encryption and ...
A.M. Abdulghani, E. Rodriguez-Villegas
openaire   +1 more source

Stratified Sampling Based Compressed Sensing for Structured Signals

IEEE Transactions on Signal Processing, 2022
Theresa Loss   +2 more
exaly  

Compressed Sampling

Science, 2013
openaire   +1 more source

Frequency Response Enhancement of Φ-OTDR Using Interval-Sweeping Pulse Equivalent Sampling Based on Compressed Sensing

Journal of Lightwave Technology, 2023
Xueguang Yuan   +2 more
exaly  

Compressed Sampling for Heart Rate Monitoring

Computer Methods and Programs in Biomedicine, 2012
Jianguo Ma, Oliver Faust, Toshiyo Tamura
exaly  

Structure Dependent Sampling in Compressed Sensing: Theoretical Guarantees for Tight Frames

Applied and Computational Harmonic Analysis, 2017
Clarice Poon
exaly  

Output-Only Modal Identification by Compressed Sensing: Non-Uniform Low-Rate Random Sampling

Mechanical Systems and Signal Processing, 2015
Satish Nagarajaiah, Yongchao Yang
exaly  

Adaptive Sampling for Compressed Sensing Based Image Compression

Journal of Visual Communication and Image Representation, 2015
Bing Zeng, Moncef Gabbouj, Shuyuan Zhu
exaly  

Computation of Two-Dimensional Spectra Assisted by Compressed Sampling

Journal of Physical Chemistry Letters, 2012
Javier Prior, Martin B Plenio, J Almeida
exaly  

Generalized Sampling: Stable Reconstructions, Inverse Problems and Compressed Sensing Over the Continuum

Advances in Imaging and Electron Physics, 2014
Gerd Teschke, Ben Adcock
exaly  

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