Results 11 to 20 of about 1,128,000 (254)
On-Chip Compressive Sensing with a Single-Photon Avalanche Diode Array [PDF]
Sensors, 2023 Single-photon avalanche diodes (SPADs) are novel image sensors that record photons at extremely high sensitivity. To reduce both the required sensor area for readout circuits and the data throughput for SPAD array, in this paper, we propose a snapshot ...
Chenxi Qiu +6 more
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Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks
IEEE Access, 2022 Compressive sensing allows the reconstruction of original signals from a much smaller number of samples as compared to the Nyquist sampling rate. The effectiveness of compressive sensing motivated the researchers for its deployment in a variety of ...
Irfan Ahmed +3 more
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Deep Sensing for Compressive Video Acquisition
Sensors, 2023 A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The original multidimensional information is then reconstructed from captured images.
Michitaka Yoshida +5 more
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Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach
Sensors, 2018 Sensing the wideband spectrum is an important process for next-generation wireless communication systems. Spectrum sensing primarily aims at detecting unused spectrum holes over wide frequency bands so that secondary users can use them to meet their ...
Youness Arjoune, Naima Kaabouch
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Applied Sciences, 2022 Due to the small number of baselines (2–3), the traditional L1 norm compressive sensing method for layover solution in InSAR has poor separation ability and height estimation stability and a long operation time.
Bin Zhang +4 more
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Hyperspectral compressive wavefront sensing
High Power Laser Science and Engineering, 2023 Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot.
Sunny Howard +4 more
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Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing. [PDF]
Sensors (Basel)This communication presents an accurate and computationally efficient approach for wideband radar cross-section (RCS) estimation and scattering point reconstruction using infinitesimal dipole modeling (IDM) with compressive sensing.
Lee JW, Jung YC, Yang SJ.
europepmc +2 more sources
Evaluation of the Effects of Compressive Spectrum Sensing Parameters on Primary User Behavior Estimation [PDF]
Port Said Engineering Research Journal, 2021 As the Internet of Things (IoT) technology is being deployed, the demand for radio spectrum is increasing. Cognitive radio (CR) is one of the most promising solutions to allow opportunistic spectrum access for IoT secondary users through utilizing ...
Ahmed Tawfik +2 more
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IEEE Open Journal of Circuits and Systems, 2022 Terahertz (THz) imaging system has great potentials for material identification, security screening, circuit inspection, bioinformatics and bio-imaging because it can penetrate various non-metallic materials and inhibits unique spectral fingerprints of a
Wei-Chieh Wang +4 more
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A secure image permutation–substitution framework based on chaos and compressive sensing
International Journal of Distributed Sensor Networks, 2020 Existing secure image acquisition works based on compressive sensing, viewing compressive sensing–based imaging system as a symmetric cryptosystem, can only achieve asymptotic spherical security denoting that the ciphertext only leaks information about ...
Rui Zhang, Di Xiao
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