Results 41 to 50 of about 3,086,556 (345)
Experimentally exploring compressed sensing quantum tomography [PDF]
, 2016 In the light of the progress in quantum technologies, the task of verifying the correct functioning of processes and obtaining accurate tomographic information about quantum states becomes increasingly important.
Bell, B. A. +8 more
core +4 more sources
Compressed Measurements Based Spectrum Sensing for Wideband Cognitive Radio Systems
International Journal of Antennas and Propagation, 2015 Spectrum sensing is the most important component in the cognitive radio (CR) technology. Spectrum sensing has considerable technical challenges, especially in wideband systems where higher sampling rates are required which increases the complexity and ...
Taha A. Khalaf +2 more
doaj +1 more source
On Known-Plaintext Attacks to a Compressed Sensing-based Encryption: A Quantitative Analysis [PDF]
, 2015 Despite the linearity of its encoding, compressed sensing may be used to provide a limited form of data protection when random encoding matrices are used to produce sets of low-dimensional measurements (ciphertexts).
Cambareri, Valerio +4 more
core +2 more sources
Improved Algorithm for Compressed Sensing Channel Estimation Based on DFT Path Searching [PDF]
Jisuanji gongcheng, 2022 Signals in Orthogonal Frequency Division Multiplexing(OFDM) systems are influenced by environmental decline in wireless channels and delay, causing Inter Symbol Interference(ISI).Accurate estimation of Channel State Information(CSI) is an effective ...
FANG Haitao, LI Mingqi, BIAN Xin
doaj +1 more source
IEEE Transactions on Medical Imaging, 2018 Compressed sensing magnetic resonance imaging (CS-MRI) enables fast acquisition, which is highly desirable for numerous clinical applications. This can not only reduce the scanning cost and ease patient burden, but also potentially reduce motion ...
Guang Yang +10 more
semanticscholar +1 more source
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss [PDF]
IEEE Transactions on Medical Imaging, 2017 Compressed sensing magnetic resonance imaging (CS-MRI) has provided theoretical foundations upon which the time-consuming MRI acquisition process can be accelerated.
Tran Minh Quan +2 more
semanticscholar +1 more source
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization [PDF]
, 2019 The recovery of signals with finite-valued components from few linear measurements is a problem with widespread applications and interesting mathematical characteristics.
Abuabiah, Mohammad, Fosson, Sophie M.
core +2 more sources
International Journal of Distributed Sensor Networks, 2019 In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and ...
Junxin Chen +3 more
doaj +1 more source
Quasi-linear Compressed Sensing [PDF]
Multiscale Modeling & Simulation, 2014 Inspired by significant real-life applications, in particular, sparse phase retrieval and sparse pulsation frequency detection in Asteroseismology, we investigate a general framework for compressed sensing, where the measurements are quasi-linear.
Martin Ehler +2 more
openaire +2 more sources
Compressed Sensing Image Mapping Spectrometer
IEEE Access, 2019 This paper presents a novel snapshot imaging spectrometer based on the image mapping and compressed sensing concept named Compressed Sensing Image Mapping Spectrometer (CSIMS).
Xiaoming Ding
doaj +1 more source