Results 31 to 40 of about 3,276,837 (200)
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 Compressive sensing of 2D signals involves three fundamental steps: sparse representation, linear measurement matrix, and recovery of the signal. This paper focuses on analyzing the efficiency of various measurement matrices for compressive sensing of ...
Hepzibah Christinal A +4 more
doaj +1 more source
Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis [PDF]
IEEE Transactions on Wireless Communications, 2019 Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on available channel state information (CSI) at the base station (BS).
Jiajia Guo +3 more
semanticscholar +1 more source
Further Results on Performance Analysis for Compressive Sensing Using Expander Graphs [PDF]
, 2007 Compressive sensing is an emerging technology which can recover a sparse signal vector of dimension n via a much smaller number of measurements than n. In this paper, we will give further results on the performance bounds of compressive sensing.
Hassibi, Babak, Xu, Weiyu
core +1 more source
Frequency-modulated continuous-wave LiDAR compressive depth-mapping [PDF]
, 2018 We present an inexpensive architecture for converting a frequency-modulated continuous-wave LiDAR system into a compressive-sensing based depth-mapping camera.
Howell, John C. +2 more
core +6 more sources
SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
Journal of Engineering and Sustainable Development, 2020 Compressive sensing (CS) technique is used to solve the problem of high sampling rate with wide band signal spectrum sensing where high speed analogue to digital converter is needed to do that. This leads to difficult hardware implementation, large time
Ali Mohammad A. AL-Hussain +1 more
doaj +3 more sources
Quantization and Compressive Sensing [PDF]
, 2014 Quantization is an essential step in digitizing signals, and, therefore, an indispensable component of any modern acquisition system. This book chapter explores the interaction of quantization and compressive sensing and examines practical quantization ...
A. Ai +65 more
core +3 more sources
Deterministic Sensing Matrices in Compressive Sensing: A Survey
The Scientific World Journal, 2013 Compressive sensing is a sampling method which provides a new approach to efficient signal compression and recovery by exploiting the fact that a sparse signal can be suitably reconstructed from very few measurements.
Thu L. N. Nguyen, Yoan Shin
doaj +1 more source
Jurnal Elkomika, 2020 ABSTRAK Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM ...
YASQI HAFIZHANA +3 more
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SoftwareX, 2018 Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem.
Ervin Sejdić +2 more
doaj +1 more source
LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing
IEEE 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