Results 11 to 20 of about 487,780 (314)
Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System [PDF]
Sensors, 2018 The dual-channel synthetic aperture radar (SAR) system is widely applied in the field of ground moving-target indication (GMTI). With the increase of the imaging resolution, the resulting substantial raw data samples increase the transmission and storage
Jing Liu +3 more
doaj +2 more sources
On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices [PDF]
, 2015 This letter is on the performance of the turbo signal recovery (TSR) algorithm for partial discrete Fourier transform (DFT) matrices based compressed sensing. Based on state evolution analysis, we prove that TSR with a partial DFT sensing matrix outperforms the well-known approximate message passing (AMP) algorithm with an independent identically ...
Ma, Junjie, Ping, Li, Yuan, Xiaojun
arxiv +4 more sources
Distributed Compressed Sensing of Sensor Data [PDF]
, 2010 Intelligent Information processing in distributed wireless sensor networks has many different optimizations by which redundancies in data can be eliminated, and at the same time the original source signal can be retrieved without loss. The data-centric nature of sensor network is modeled, which allows environmental applications to measure correlated ...
Dhananjay Singh, Vasanth Iyer
core +5 more sources
Dictionary Design for Distributed Compressive Sensing [PDF]
IEEE Signal Processing Letters, 2014 This work is supported by EPSRC Research Grant EP/K033700/1 and EP/K033166/1, the Fundamental Research Funds for the Central Universities (No. 2014JBM149), the State Key Laboratory of Rail Traffic Control and Safety (RCS2012ZT014) of Beijing Jiaotong University, the Natural Science Foundation of China (U1334202), the Key Grant Project of Chinese ...
Wei Chen +2 more
openalex +3 more sources
Multi-User Distributed Computing Via Compressed Sensing
2023 IEEE Information Theory Workshop (ITW), 2023 The multi-user linearly-separable distributed computing problem is considered here, in which $N$ servers help to compute the real-valued functions requested by $K$ users, where each function can be written as a linear combination of up to $L$ (generally non-linear) subfunctions. Each server computes a fraction $γ$ of the subfunctions, then communicates
Ali Khalesi +3 more
openalex +6 more sources
On the SNR Variability in Noisy Compressed Sensing [PDF]
, 2016 Compressed sensing (CS) is a sampling paradigm that allows to simultaneously measure and compress signals that are sparse or compressible in some domain. The choice of a sensing matrix that carries out the measurement has a defining impact on the system performance and it is often advocated to draw its elements randomly.
Del Galdo, Giovanni +3 more
arxiv +3 more sources
Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Dror Baron +4 more
openalex +4 more sources
High-Performance Distributed Compressive Video Sensing: Jointly Exploiting the HEVC Motion Estimation and the ℓ1 – ℓ1 Reconstruction [PDF]
IEEE Access, 2020 The distributed compressive video sensing (DCVS) system combines the advantages of compressed sensing (CS) and distributed video coding (DVC), suitable for the limited-resource video sensing and transmission environment.
Ruifeng Zhang +3 more
doaj +2 more sources
Distributed Compressed Sensing off the Grid [PDF]
IEEE Signal Processing Letters, 2014 This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements. Unlike conventional arts in compressed sensing, the frequencies follow an off-the-grid formulation and are continuously valued in $\left\lbrack 0,1 \right\rbrack$.
Zhenqi Lu +4 more
openalex +5 more sources
Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data
Sensors, 2017 With the development of hyperspectral technology, to establish an effective spectral data compressive reconstruction method that can improve data storage, transmission, and maintaining spectral information is critical for quantitative remote sensing ...
Ping Xu +4 more
doaj +2 more sources