Results 31 to 40 of about 2,932,031 (355)

Compressive Sensing over OFDM Systems

open access: yesJournal of Kufa for Mathematics and Computer, 2021
Communications development is the fastest-growing Nowadays, so the need and the constant demand for faster and more reliable communication methods have increased. Here, the compressive sensing appeared to meet this need.
Zainab Al-Shably, Zahir Hussain
doaj   +1 more source

Universal compressed sensing [PDF]

open access: yes2016 IEEE International Symposium on Information Theory (ISIT), 2016
In this paper, the problem of developing universal algorithms for compressed sensing of stochastic processes is studied. First, R nyi's notion of information dimension (ID) is generalized to analog stationary processes. This provides a measure of complexity for such processes and is connected to the number of measurements required for their accurate ...
H. Vincent Poor, Shirin Jalali
openaire   +3 more sources

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Application of Compressive Sensing in the Presence of Noise for Transient Photometric Events

open access: yesSignals, 2022
Compressive sensing is a simultaneous data acquisition and compression technique, which can significantly reduce data bandwidth, data storage volume, and power. We apply this technique for transient photometric events. In this work, we analyze the effect
Asmita Korde-Patel   +2 more
doaj   +1 more source

LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

open access: yesIEEE Transactions on Vehicular Technology, 2020
Automatic modulation classification (AMC) is an promising technology for non-cooperative communication systems in both military and civilian scenarios.
Yu Wang, Jie Yang, Miao Liu, Guan Gui
semanticscholar   +1 more source

An Overview on Deep Learning Techniques for Video Compressive Sensing

open access: yesApplied Sciences, 2022
The use of compressive sensing in several applications has allowed to capture impressive results, especially in various applications such as image and video processing and it has become a promising direction of scientific research.
Wael Saideni   +3 more
doaj   +1 more source

Investigation of the Uniformity of Gel Shrinkage by Imaging Tracer Particles Using X‐Ray Microtomography

open access: yesAdvanced Engineering Materials, EarlyView., 2023
A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal   +3 more
wiley   +1 more source

A secure image permutation–substitution framework based on chaos and compressive sensing

open access: yesInternational Journal of Distributed Sensor Networks, 2020
Existing secure image acquisition works based on compressive sensing, viewing compressive sensing–based imaging system as a symmetric cryptosystem, can only achieve asymptotic spherical security denoting that the ciphertext only leaks information about ...
Rui Zhang, Di Xiao
doaj   +1 more source

Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO [PDF]

open access: yesIEEE Transactions on Signal Processing, 2019
This paper considers massive access in massive multiple-input multiple-output (MIMO) systems and proposes an adaptive active user detection and channel estimation scheme based on compressive sensing.
Malong Ke   +4 more
semanticscholar   +1 more source

Compressed sensing of twisted photons [PDF]

open access: yesOptics Express, 2019
The ability to completely characterize the state of a quantum system is an essential element for the emerging quantum technologies. Here, we present a compressed-sensing inspired method to ascertain any rank-deficient qudit state, which we experimentally encode in photonic orbital angular momentum.
Frédéric Bouchard   +10 more
openaire   +6 more sources

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