Results 21 to 30 of about 83,836 (252)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Compressive Sampling for Remote Control Systems [PDF]
, 2012 In remote control, efficient compression or representation of control signals is essential to send them through rate-limited channels. For this purpose, we propose an approach of sparse control signal representation using the compressive sampling ...
Hayashi, Kazunori +2 more
core +4 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation [PDF]
, 2015 We propose new compressive parameter estimation algorithms that make use of polar interpolation to improve the estimator precision. Our work extends previous approaches involving polar interpolation for compressive parameter estimation in two aspects: (i)
Duarte, Marco F. +2 more
core +3 more sources
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
doaj +1 more source