- 《IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing》 被引量: 9发表: 2015年 Application of Compressive Sensing to Two-Dimensional Radar Imaging Using a Frequency-Scanned Microstrip Leaky Wave Antenna compressive sensing to two-dimensional radar imaging using a frequency...
We present a new sampling scheme for seismic network observations and seismic exploration data acquisition based on compressive sensing theory. According to this theory, seismic data can be recovered with a compressive sampling scheme, using fewer samples than in traditional methods, provided that two ...
A Budillon,G Ferraioli,G Schirinzi - 《IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing》 被引量: 12发表: 2014年 Multi-target localization in wireless sensor networks: a compressive sampling-based approach sends the measurements to the sink node where a compressive ...
“Compressive Sensing theory” preserves extremely helpful while signals are sparse or compressible. It very well may be utilized to recoup light or compressive signals with less estimation than customary strategies. Two issues must be addressed by CS: plan of the estimation framework and advancement ...
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images Digital Signal Processing Volume 50, March 2016, Pages 180-190 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic or personal use...
HRTEM observations in Figure 4(c) demonstrate that the thickness of precipitates is ~16 nm. The orientation relationship between Ti2C and precipitates for the interface is confirmed to be [11¯22¯0]Ti//[011]Ti2C, (0001)Ti//(1¯11¯1)Ti2C, according to the inserted HRTEM in ...
Parameter estimation of multiple frequency-hopping signals based on Bayesian compressive sensing and atomic norm soft thresholding with missing observations In this study, the problem of estimating multiple frequency-hopping (FH) signal parameters in situations in which random observations are missing is ad...
Dynamic recursive recovery of a spatially sparse signal from compressed measurements has received a lot of attention recently. For example, Kalman filtered compressed sensing (KF-CS) has been proposed as a technique to estimate a sparse signal and its support set. However, these techniques can ...
The compressive sensing (CS)-based optical remote sensing (ORS) imaging system has been verified for the feasibility through numerical simulation experimen... S Xiao,Y Zhang,X Chang - 《IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing》 被引量: 0发表: 2022年 Techn...
In this paper, we propose a new algorithm that is based on an emerging paradigm called compressive sensing (CS). Under the sparsity condition, CS capable to exactly reconstructs a signal or an image, using only a few number of random samples. We show that CS is well-suited with the ...