Results 51 to 60 of about 13,996 (160)
A quantitative and qualitative performance analysis of compressive spectral imagers
Tecnura, 2017 Context: Spectral images (SI) contain spatial-spectral information about a scene arranging in a data cube, which often comprises a significant amount of data.
Ferley Medina Rojas +2 more
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Compressive sensing: from "compressing while sampling" to "compressing and securing while sampling".
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2010 In a traditional signal processing system sampling is carried out at a frequency which is at least twice the highest frequency component found in the signal. This is in order to guarantee that complete signal recovery is later on possible. The sampled signal can subsequently be subjected to further processing leading to, for example, encryption and ...
Abdulghani, AM, Rodriguez-Villegas, E
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Compressive sampling for networked feedback control
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 We investigate the use of compressive sampling for networked feedback control systems. The method proposed serves to compress the control vectors which are transmitted through rate-limited channels without much deterioration of control performance. The control vectors are obtained by an L1-L2 optimization, which can be solved very efficiently by FISTA (
Nagahara, Masaaki +3 more
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Estimasi Rapat Spektral Daya Berbasiskan Compressive Sampling
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018 Makalah ini membahas proses penginderaan spektrum berbasiskan rekonstruksi rapat spektral daya (power spectral density, PSD) dari sampel-sampel digital yang diperoleh dari pencuplikan dengan pesat di bawah pesat Nyquist.
Dyonisius Dony Ariananda
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SoftwareX, 2018 Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem.
Ervin Sejdić +2 more
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Image compression and recovery through compressive sampling and particle swarm [PDF]
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009 We present an application of particle swarm techniques to the problem of sparse signal recovery. Although a direct application of particle swarm is straightforward, specifics of the signal recovery problem can be incorporated into particle behavior in a way that substantially improves the quality of the recovered signal.
David B. Sturgill +2 more
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Compressive Signal Processing for Estimating Range-Velocity-AoA in FMCW Radar Applications
IEEE AccessFrequency-modulated continuous wave (FMCW) radars are known to accurately estimate the parameters of targets with low-cost and low-power transceiver systems.
Eny Sukani Rahayu +3 more
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IEEE Photonics Journal, 2012 On the basis of photonics-assisted compressive sampling (CS), we demonstrate for the first time an integrated system with the capacity of multifrequency recognition and downconversion of intercepted radio frequency (RF) component.
Li Yan +6 more
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Multiple-Image Encryption Based on Compressive Ghost Imaging and Coordinate Sampling
IEEE Photonics Journal, 2016 A multiple-image encryption method that is based on a modified logistic map algorithm, compressive ghost imaging, and coordinate sampling is proposed. In the encryption process, random phase-only masks are first generated with the modified logistic map ...
Xianye Li +8 more
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JsrNet: A Joint Sampling–Reconstruction Framework for Distributed Compressive Video Sensing
Sensors, 2019 Huge video data has posed great challenges on computing power and storage space, triggering the emergence of distributed compressive video sensing (DCVS).
Can Chen +3 more
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