Deterministic binary matrix based compressive data aggregation in big data WSNs
Sign Up to like & getrecommendations! Published in 2017 at "Telecommunication Systems"
DOI: 10.1007/s11235-017-0294-3
Abstract: In big data wireless sensor networks, the volume of data sharply increases at an unprecedented rate and the dense deployment of sensor nodes will lead to high spatial-temporal correlation and redundancy of sensors’ readings. Compressive… read more here.
Keywords: big data; aggregation; deterministic binary; data aggregation ... See more keywords
Image encryption based on compressive sensing and chaos systems
Sign Up to like & getrecommendations! Published in 2020 at "Optics and Laser Technology"
DOI: 10.1016/j.optlastec.2020.106489
Abstract: Abstract Recently, a new image encryption technique based on compressive sensing (CS) has been proposed. CS allows the signal to be sampled at a much lower rate than the Nyquist- Shannon rate. Furthermore, the signal… read more here.
Keywords: encryption based; compressive sensing; image encryption; image ... See more keywords
Efficient COVID-19 testing via contextual model based compressive sensing
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108253
Abstract: The COVID-19 pandemic is threatening billions of people's life all over the world. As of March 6, 2021, covid-19 has confirmed in 115,653,459 people worldwide. It has also a devastating effect on businesses and social… read more here.
Keywords: model based; compressive sensing; model; efficient covid ... See more keywords
VQ-based compressive sensing with high compression quality
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.1321
Abstract: Natural image reconstruction based on compressive sensing (CS) has shown a promising performance in recent years. However, sometimes the restoration precision is not high enough. A novel CS algorithm using vector quantisation (VQ) error is… read more here.
Keywords: high compression; compressive sensing; based compressive; error matrix ... See more keywords
Intra Prediction-Based Measurement Coding Algorithm for Block-Based Compressive Sensing Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068579
Abstract: Block-based compressive image sensor (BCIS) captures light and represents them as compressed data called measurement. It has potential to revolutionize conventional image and video acquisition system that builds upon high complexity and redundant process. However,… read more here.
Keywords: block based; prediction; based compressive; intra prediction ... See more keywords
Dictionary-based compressive Fourier ptychography.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.450852
Abstract: Fourier ptychography (FP) provides an alternative scheme for improving the spatial bandwidth product with limited device. However, an angle-variation illumination is necessary to realize scanning imaging in the Fourier plane, which dramatically restricts the imaging… read more here.
Keywords: ptychography; compressive fourier; fourier ptychography; dictionary based ... See more keywords
A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24070988
Abstract: In order to overcome the spectral interference of the conventional Fourier transform in the International Electrotechnical Commission framework, this paper introduces a Bregman-split-based compressive sensing (BSCS) method to estimate the Taylor–Fourier coefficients in a multi-frequency… read more here.
Keywords: bregman split; estimation; split based; compressive sensing ... See more keywords