Results 261 to 270 of about 9,181,016 (294)
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Journal of Agricultural and Food Chemistry, 2017
This perspective examines psychophysical methods that may reveal the algorithms that encode odor images by integrating current data from sensory measurement into a computational model of odor perception. There is evidence that algorithms used by the nervous system to process odor sensations require input from only a few odorants, between three and ...
Madeleine M. Rochelle +2 more
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This perspective examines psychophysical methods that may reveal the algorithms that encode odor images by integrating current data from sensory measurement into a computational model of odor perception. There is evidence that algorithms used by the nervous system to process odor sensations require input from only a few odorants, between three and ...
Madeleine M. Rochelle +2 more
openaire +2 more sources
Hyperspectral Computational Imaging via Collaborative Tucker3 Tensor Decomposition
IEEE transactions on circuits and systems for video technology (Print), 2021Computational imaging for hyperspectral images (HSIs) is a hot topic in remote sensing and imaging systems. The dual-camera compressive hyperspectral imaging (DCCHI) system has been successfully designed and applied in hyperspectral imaging. However, the
Yang Xu +3 more
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Physics-Guided Terahertz Computational Imaging: A tutorial on state-of-the-art techniques
IEEE Signal Processing Magazine, 2022Visualizing information inside objects is an everlasting need to bridge the world from physics, chemistry, and biology to computation. Among all tomographic techniques, terahertz (THz) computational imaging has demonstrated its unique sensing features to
Weng-Tai Su +4 more
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Computational imaging technologies
SPIE Proceedings, 2010Many computational imaging technologies introduced in the last several years use optical, mechanical, sensor and computational degrees of freedom to enable special system characteristics. The general computational imaging framework will be discussed along with the value of some specific approaches.
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Optimization of a Sparse Aperture Configuration for Millimeter-Wave Computational Imaging
IEEE Transactions on Antennas and Propagation, 2021We present two techniques for optimizing the position of transmitter and receiver modules on a sparse aperture for a millimeter-wave computational imaging system. The first technique uses an easily computable spatial representation of the transmitter and
N. Viswanathan, S. Venkatesh, D. Schurig
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Frequency-Diverse Bunching Metasurface Antenna for Microwave Computational Imaging
IEEE Transactions on Antennas and PropagationA frequency-diverse bunching metasurface antenna (FDBMA) that can be used for microwave computational imaging (MCI) systems is proposed in this article.
Mengran Zhao +7 more
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Extreme-Quality Computational Imaging via Degradation Framework
IEEE International Conference on Computer Vision, 2021To meet the space limitation of optical elements, free-form surfaces or high-order aspherical lenses are adopted in mobile cameras to compress volume. However, the application of free-form surfaces also introduces the problem of image quality mutation ...
Shiqi Chen +4 more
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Computational Imaging With Holographic RIS: Sensing Principle and Pathloss Analysis
IEEE Journal on Selected Areas in CommunicationsRealizing the wireless environmental sensing is another desired function of reconfigurable intelligent surface (RIS), in addition to enhancing the performance of wireless communication systems.
Haoran Sun +4 more
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Computational Imaging Encryption with a Steganographic and Holographic Authentication Strategy
Laser & Photonics ReviewsRobust data security is of paramount importance, particularly for highly classified information. To achieve this, advanced encryption and decryption methods, along with stringent access control and physical security measures, are essential to mitigate ...
Xiaogang Wang +7 more
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Distributed Computational Imaging with Reconfigurable Intelligent Surface
International Conference on Wireless Communications and Signal Processing, 2020As a promising imaging technique, computational imaging is able to reconstruct the target by transmitting temporal-spatial incoherent signals. With the reconstructed image, a deterministic model of the scene can be established.
Yang Tao, Zhaoyang Zhang
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