Results 1 to 10 of about 2,589,305 (204)
Sampling for Snapshot Compressive Imaging
Intelligent Computing, 2023 In this study, we compare interlaced and multiscale sampling of smooth manifolds for snapshot compressive imaging. With a particular focus on spectral, spatial, and temporal focal photographic imaging systems, we show that structured transformer networks
Minghao Hu +4 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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Sub-Nyquist SAR via Quadrature Compressive Sampling with Independent Measurements
Remote Sensing, 2019 This paper presents an efficient sampling system for the acquisition of synthetic aperture radar (SAR) data at sub-Nyquist rate. The system adopts a quadrature compressive sampling architecture, which uses modulation, filtering, sampling and digital ...
Huizhang Yang +3 more
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Sensors, 2014 The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes.
Francesco Bonavolontà +3 more
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Quadrature Compressive Sampling for Multiband Radar Echo Signals
IEEE Access, 2017 In multiband/multifunction radars, the received echoes are usually multiband signals consisting of several subbands with different carrier frequencies. Digital acquisition of the in-phase and quadrature (I and Q) components of each subband is important ...
Shengyao Chen, Feng Xi
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Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant
IEEE Access, 2022 In medical imaging, the application of retinal images demands a lot of retinal photos to analyze and requires efficient compression techniques for retinal image storage.
Ledya Novamizanti +5 more
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High-performance Microwave Computational Imaging System Based on Information Metamaterials
Leida xuebao, 2021 In this paper, we propose a detailed architectural design, principle of operation, and modeling analysis of a high-performance microwave computational imaging system based on information metamaterials.
Jiaqi HAN +5 more
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Vaguelette-Wavelet Deconvolution via Compressive Sampling
IEEE Access, 2019 Vaguelette-wavelet deconvolution (VWD) is known as a transform-based image restoration technique that involves applying wavelet-domain denoising to an observed image, followed by the Fourier-domain blur inversion, which can prevent noise amplification in
Chihiro Tsutake, Toshiyuki Yoshida
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Compressive Sampling with Multiple Bit Spread Spectrum-Based Data Hiding
Applied Sciences, 2020 We propose a novel data hiding method in an audio host with a compressive sampling technique. An over-complete dictionary represents a group of watermarks.
Gelar Budiman +2 more
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A Light Field Sparse and Reconstruction Framework for Improving Rendering Quality
IEEE Access, 2020 We present a sparse reconstruction light field (SRLF) framework using compressed sensing theory. Light field signals have sparsity in some specific phenomena, such as nonocclusions, smooth surfaces and texture uniformity.
Hong Zhang +6 more
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