Results 61 to 70 of about 152,526 (313)
Leida xuebao, 2020 High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels.
PAN Jie +3 more
doaj +1 more source
Recursive Compressed Sensing [PDF]
, 2013 We introduce a recursive algorithm for performing compressed sensing on streaming data. The approach consists of a) recursive encoding, where we sample the input stream via overlapping windowing and make use of the previous measurement in obtaining the ...
Freris, Nikolaos M. +2 more
core +1 more source
Advanced Biology, EarlyView.The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert +4 more
wiley +1 more source
Journal of Open Research Software, 2014 Magni is an open source Python package that embraces compressed sensing and Atomic Force Microscopy (AFM) imaging techniques. It provides AFM-specific functionality for undersampling and reconstructing images from AFM equipment and thereby accelerating ...
Christian Schou Oxvig +4 more
doaj +1 more source
The Journal of Engineering, 2020 For the characteristics of a random distribution and a large number of buses in the power system, the authors introduce distributed compressed sensing to compress and reconstruct the power quality data. They built a distributed IEEE14 bus system in PSCAD.
Huanan Yu, Honghao Yu
doaj +1 more source
Blockchain-Watermarking for Compressive Sensed Images
IEEE Access, 2021 With the application of multimedia big data, the problems such as information leakage and data tampering have emerged. The security of images which is one of the most typical multimedia has become a major problem facing the large-scale open network ...
Ming Li +5 more
doaj +1 more source
Dictionary Learning for Blind One Bit Compressed Sensing
, 2015 This letter proposes a dictionary learning algorithm for blind one bit compressed sensing. In the blind one bit compressed sensing framework, the original signal to be reconstructed from one bit linear random measurements is sparse in an unknown domain ...
Korki, Mehdi +2 more
core +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Advanced Engineering Materials, EarlyView.Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee +3 more
wiley +1 more source
Denoising-Based Turbo Compressed Sensing
IEEE Access, 2017 Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general ...
Zhipeng Xue, Junjie Ma, Xiaojun Yuan
doaj +1 more source
Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Michael B. Wakin +4 more
openaire +2 more sources