Results 11 to 20 of about 2,589,305 (204)
Compressive sampling of binary images [PDF]
, 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
Stankovic, L., Cheng, S., Stankovic, V.
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A Novel Iterative Thresholding Algorithm Based on Plug-and-Play Priors for Compressive Sampling
Future Internet, 2017 We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers—i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers.
Lingjun Liu, Zhonghua Xie, Cui Yang
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Photonics-enabled sub-Nyquist radio frequency sensing based on temporal channelization and compressive sensing [PDF]
, 2014 A novel approach to sensing broadband radio frequency (RF) spectrum beyond the Nyquist limit based on photonic temporal channelization and compressive sensing is proposed.
Wang, Chao +3 more
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Compressed sensing applied to modeshapes reconstruction [PDF]
, 2011 Modal analysis classicaly used signals that respect the Shannon/Nyquist theory. Compressive sampling (or Compressed Sampling, CS) is a recent development in digital signal processing that offers the potential of high resolution capture of physical ...
Dimitri Bettebghor +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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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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Watermarking for compressive sampling applications [PDF]
, 2012 Compressive sampling is a newly developed topic in the field of data compression. For current researches, compressive sampling techniques focus on compression performances.
Huang, hsiang-cheh; Chang, Feng-cheng; Wu, Chun-hsien; Lai, Wei-hao +4 more
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Analysis of The Rock Fracture on Uniaxial Compressive Strength Test [PDF]
, 2021 The compressive strength test is one of the technical properties or compressive strength tests that are commonly used in rock mechanics to determine the collapse point or the elasticity of rock against maximum pressure.
Dinoy, Edward +7 more
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New Directions In Sparse Sampling and Estimation For Underdetermined Systems [PDF]
, 2013 A central objective in signal processing is to infer meaningful information from a set of measurements or data. While most signal models have an overdetermined structure (the number of unknowns less than the number of equations), traditionally very few ...
Piya Pal, Pal, Piya
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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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