Results 41 to 50 of about 799,916 (290)
Statistical physics-based reconstruction in compressed sensing
Compressed sensing is triggering a major evolution in signal acquisition. It consists in sampling a sparse signal at low rate and later using computational power for its exact reconstruction, so that only the necessary information is measured.
A. Dempster +15 more
core +3 more sources
Rigorous signal reconstruction in terahertz emission spectroscopy
Terahertz (THz) emission spectroscopy is a powerful method that allows one to measure the ultrafast dynamics of polarization, current, or magnetization in a material based on THz emission from the material. However, the practical implementation of this method can be challenging, and can result in significant errors in the reconstruction of the quantity
Wentao Zhang, Dmitry Turchinovich
openaire +4 more sources
Pushing towards the Limit of Sampling Rate: Adaptive Chasing Sampling
Measurement samples are often taken in various monitoring applications. To reduce the sensing cost, it is desirable to achieve better sensing quality while using fewer samples.
Li, Ying, Wang, Xin, Xie, Kun
core +1 more source
Signal Reconstruction in Multidimensional Sensor Fields [PDF]
Sensor networks are often used for environmental monitoring. In this context, sampling and reconstruction of a physical field is a fundamental issue to solve. We consider a bandlimited, multidimensional field and study the quality level of its reconstruction when the sensor measurements are noisy and the number of available sensors varies. We find that,
NORDIO, ALESSANDRO +2 more
openaire +4 more sources
A fast algorithm for sparse signal recovery via fraction function
In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show
Angang Cui, Haizhen He, Hong Yang
doaj +1 more source
Optimal signal reconstruction from a series of recurring delayed measurements [PDF]
The modern sampled-data approach provides a general methodology for signal reconstruction. This paper discusses some implications for optimal signal reconstruction when a series of recurring measurements, some delayed, are available for the ...
Meinsma, Gjerrit, Mirkin, Leonid
core +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Compressive Sensing Approach to Harmonics Detection in the Ship Electrical Network
The contribution of this paper is to show the opportunities for using the compressive sensing (CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship’s electrical network, polluted by harmonic distortions, can be modeled
Beata Palczynska +2 more
doaj +1 more source
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source

