Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Geodesy"
DOI: 10.1007/s00190-018-1152-0
Abstract: In this work, the reconstruction quality of an approach for neutrospheric water vapor tomography based on Slant Wet Delays (SWDs) obtained from Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) is investigated.… read more here.
Keywords: reconstruction; compressive sensing; insar swds; refractivity ... See more keywords
A new compressive sensing based image denoising method using block-matching and sparse representations over learned dictionaries
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6818-3
Abstract: Suppressing noise and preserving detail information such as edges and textures are two key challenges in image denoising. In this paper, a new method for eliminating noise from images is presented which is based on… read more here.
Keywords: compressive sensing; image; method; image denoising ... See more keywords
Secure and robust watermarking algorithm for remote sensing images based on compressive sensing
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7014-1
Abstract: The aim of this paper is to improve the reconstruction accuracy and security when adopting Compressive Sensing (CS) in watermarking algorithm. Unlike classical CS-based watermark generation method, lifting wavelet transformation, partial Hadamard matrix, and ternary… read more here.
Keywords: watermark; compressive sensing; algorithm remote; watermarking algorithm ... See more keywords
A novel encrypted compressive sensing of images based on fractional order hyper chaotic Chen system and DNA operations
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7642-0
Abstract: Secured Compressive sensing of the images becomes one of the essential issues in multimedia applications. In the recent times, encryption in compressive sensing is achieved via the use of multiple one dimensional chaotic system (1D… read more here.
Keywords: compressive sensing; system; chen system; hyper chaotic ... See more keywords
Accurate compressive data gathering in wireless sensor networks using weighted spatio-temporal compressive sensing
Sign Up to like & getrecommendations! Published in 2018 at "Telecommunication Systems"
DOI: 10.1007/s11235-017-0376-2
Abstract: The high number of transmissions in sensor nodes having a limited amount of energy leads to a drastic decrease in the lifetime of wireless sensor networks. For dense sensor networks, the provided data potentially have… read more here.
Keywords: compressive sensing; sensor networks; method; temporal compressive ... See more keywords
Intelligence Framework Based Analysis of Spatial–Temporal Data with Compressive Sensing Using Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-07017-2
Abstract: Wireless sensor networks produce immense sensor readings within a report interval to the sink. So transfer of information in a resource constrained wireless environment is difficult. Compressive sensing overcomes the resource constrains in wireless environment… read more here.
Keywords: compressive sensing; spatial temporal; sensor networks; wireless sensor ... See more keywords
A new fault diagnosis method based on convolutional neural network and compressive sensing
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-019-1007-5
Abstract: Compressive sensing is an efficient machinery monitoring framework, which just needs to sample and store a small amount of observed signal. However, traditional reconstruction and fault detection methods cost great time and the accuracy is… read more here.
Keywords: fault; compressive sensing; convolutional neural; fault diagnosis ... See more keywords
Energy efficient distributed compressed data gathering for sensor networks
Sign Up to like & getrecommendations! Published in 2017 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2016.10.003
Abstract: With advances in sensing technologies and wireless sensor networks, energy consumption is a key factor for data collection in sensor network. Compressive sensing has attracted more attention for reducing energy cost due to its enabled… read more here.
Keywords: compressive sensing; networks energy; energy; sensor networks ... See more keywords
Compressive sensing for perceptually correct reconstruction of music and speech signals
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2021.108328
Abstract: Abstract Compressive sensing (CS) is a technique that can achieve exact signal reconstruction by using fewer samples than those in the Nyquist theorem. In this study, listening tests were conducted to investigate the minimum number… read more here.
Keywords: reconstruction; perceptually correct; music; speech signals ... See more keywords
Study on sparse representation and measurement matrices of compressive sensing of plant hyperspectral data for retrieving plant physiological and biochemical parameters
Sign Up to like & getrecommendations! Published in 2019 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2019.02.011
Abstract: The sparse representation of the original signal and compression of the sparse coefficients in the process of compressive sensing have a large influence on the reconstruction of plant hyperspectral data to retrieve plant physiological and… read more here.
Keywords: hyperspectral data; matrix; plant hyperspectral; compressive sensing ... See more keywords
Compressive sensing of wind speed based on non-convex ℓp-norm sparse regularization optimization for structural health monitoring
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Structures"
DOI: 10.1016/j.engstruct.2019.05.066
Abstract: Abstract Large-span spatial structures are quite sensitive to wind load because of their notable structural flexibility and low fundamental frequency. Structural health monitoring (SHM) of wind applied to this type of structure is the most… read more here.
Keywords: health monitoring; structural health; method; compressive sensing ... See more keywords