Results 21 to 30 of about 14,930 (253)
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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Compressive Sampling of Binary Images [PDF]
2008 Congress on Image and Signal Processing, 2008 Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is ...
Stankovic, V., Stankovic, L., Cheng, S.
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Sampling Time Adaptive Single-Photon Compressive Imaging
IEEE Photonics Journal, 2019 We propose a time-adaptive sampling method and demonstrate a sampling-time-adaptive single-photon compressive imaging system. In order to achieve self-adapting adjustment of sampling time, the theory of threshold of light intensity estimation accuracy is
Hui Wang +4 more
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On Variable Density Compressive Sampling [PDF]
IEEE Signal Processing Letters, 2011 We advocate an optimization procedure for variable density sampling in the context of compressed sensing. In this perspective, we introduce a minimization problem for the coherence between the sparsity and sensing bases, whose solution provides an optimized sampling profile.
Gilles Puy +2 more
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Sensors, 2023 This paper considers the problem of estimating the parameters of a frequency-hopping signal under non-cooperative conditions. To make the estimation of different parameters independently of each other, a compressed domain frequency-hopping signal ...
Weipeng Zhu +3 more
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Entropy, 2015 Assuming sparsity or compressibility of the underlying signals, compressed sensing or compressive sampling (CS) exploits the informational efficiency of under-sampled measurements for increased efficiency yet acceptable accuracy in information gathering,
Jingxiong Zhang +3 more
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Broadband Microwave Spectrum Sensing Based on Photonic RF Channelization and Compressive Sampling
IEEE Photonics Journal, 2020 A novel approach to realize broadband microwave spectrum sensing based on photonic RF channelization and compressive sampling (CS) is proposed. The photonic RF channelization system is used to slice the input broadband signal into multiple sub-channel ...
Bo Yang +5 more
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Compressive Sampling Using a Pushframe Camera [PDF]
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 2021 Pushframe parallellized single pixel camera imaging utilizes scanning motion to apply linear sampling masks to rapidly compressively sense a scene. We demonstrate strongly performing static binarized noiselet mask designs, tailored for pushframe hardware.
Bennett, Stuart +6 more
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Dynamic range analysis of one-bit compressive sampling with time-varying thresholds
The Journal of Engineering, 2019 From the point of view of statistical signal processing, the dynamic range for one-bit quantisers with time-varying thresholds is studied. Maximum tolerable amplitudes, minimum detectable amplitudes and dynamic ranges of this one-bit sampling approach ...
Xiaofeng Zhu, Liang Huang, Ziqian Wang
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