A tutorial on sparse signal reconstruction and its applications in signal processing
Sparse signals are characterized by a few nonzero coefficients in one of their transformation
domains. This was the main premise in designing signal compression algorithms …
domains. This was the main premise in designing signal compression algorithms …
On some common compressive sensing recovery algorithms and applications-Review paper
Compressive Sensing, as an emerging technique in signal processing is reviewed in this
paper together with its common applications. As an alternative to the traditional signal …
paper together with its common applications. As an alternative to the traditional signal …
High-resolution image transmission from UAV to ground station for search and rescue missions planning
Search and rescue (SAR) missions comprise search for, and provision of aid to people who
are in distress or imminent danger. Providing the best possible input for the planners and …
are in distress or imminent danger. Providing the best possible input for the planners and …
Compressed robust transmission for remote sensing services in space information networks
H Lu, Y Gui, X Jiang, F Wu… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
With rapid development of space platforms such as small satellites and UAVs for public
services, remote sensing services have been considered as one of the most promising …
services, remote sensing services have been considered as one of the most promising …
On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples
Nonstationary signals, approximately sparse in the joint time-frequency domain, are
considered. Reconstruction of such signals with sparsity constraint is analyzed in this paper …
considered. Reconstruction of such signals with sparsity constraint is analyzed in this paper …
Gradient compressive sensing for image data reduction in UAV based search and rescue in the wild
Search and rescue operations usually require significant resources, personnel, equipment,
and time. In order to optimize the resources and expenses and to increase the efficiency of …
and time. In order to optimize the resources and expenses and to increase the efficiency of …
Compressive sensing approach in the table grape cold chain logistics
A precise and accurate monitoring of different parameters such as temperature, relative
humidity or gas level, in cold chain logistic, is important for preserving the quality of the …
humidity or gas level, in cold chain logistic, is important for preserving the quality of the …
Error in the reconstruction of nonsparse images
Sparse signals, assuming a small number of nonzero coefficients in a transformation
domain, can be reconstructed from a reduced set of measurements. In practical applications …
domain, can be reconstructed from a reduced set of measurements. In practical applications …
Localization of multiple RF sources via priori knowledge-aided Bayesian compressive sensing in UAV-based WSN
X Jiang, N Li, Y Guo, W Xie, K Xu… - IEEE Communications …, 2021 - ieeexplore.ieee.org
In the unmanned aerial vehicle-based wireless sensor network, the compressive sensing
approach can simultaneously locate multiple ground radio frequency sources, while the …
approach can simultaneously locate multiple ground radio frequency sources, while the …
Implementation of image resampling algorithm based on compressed sensing
D Li, Y Wang - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In this paper, the sampling rate of traditional signal reconstruction should be more than 2
times the maximum frequency of the original signal in order to ensure the non-distortion …
times the maximum frequency of the original signal in order to ensure the non-distortion …