Results 21 to 30 of about 34,534 (182)
Deterministic Sensing Matrices in Compressive Sensing: A Survey
The Scientific World Journal, 2013 Compressive sensing is a sampling method which provides a new approach to efficient signal compression and recovery by exploiting the fact that a sparse signal can be suitably reconstructed from very few measurements.
Thu L. N. Nguyen, Yoan Shin
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SoftwareX, 2018 Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem.
Ervin Sejdić +2 more
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"Compressed" Compressed Sensing
, 2010 The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small number of randomly constructed linear projections (or samples). The question addressed in this paper is whether an even smaller number of samples is sufficient when there exists prior knowledge about the distribution of the ...
Reeves, Galen, Gastpar, Michael
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A New Method for EEG Compressive Sensing
Advances in Electrical and Computer Engineering, 2012 The paper investigates the possibility of using compressive sensing techniques for the acquisition and reconstruction of EEG signals containing the evoked potential P300. A method of EEG compressive sensing based on the physiological correlation of EEG
FIRA, M., GORAS, L.
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Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li +4 more
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Adaptive compressive sensing of images using error between blocks
International Journal of Distributed Sensor Networks, 2018 Block compressive sensing of image results in blocking artifacts and blurs when reconstructing images. To solve this problem, we propose an adaptive block compressive sensing framework using error between blocks.
Ran Li, Xiaomeng Duan, Yongfeng Lv
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Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach
Sensors, 2018 Sensing the wideband spectrum is an important process for next-generation wireless communication systems. Spectrum sensing primarily aims at detecting unused spectrum holes over wide frequency bands so that secondary users can use them to meet their ...
Youness Arjoune, Naima Kaabouch
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A compressive data gathering method based on El Gamal cryptography
Dianxin kexue, 2019 As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied ...
Xiaohan YU +3 more
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Spectrum sensing techniques for 5G wireless networks: Mini review
Sensors International, 2022 Cognitive radio (CR) is a leading candidate for addressing spectrum constraints and is a key component of fifth-generation (5G) communications. For optimum usage of accessible unused spectrum, spectrum sensing is a critical aspect of CR.
RS Koteeshwari, B. Malarkodi
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Compressive Sensing Image Sensors-Hardware Implementation
Sensors, 2013 The compressive sensing (CS) paradigm uses simultaneous sensing and compression to provide an efficient image acquisition technique. The main advantages of the CS method include high resolution imaging using low resolution sensor arrays and faster image ...
Shahram Shirani +2 more
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