Results 31 to 40 of about 2,932,031 (355)
Compressive Sensing over OFDM Systems
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]
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
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
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
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
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
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
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]
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]
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