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Frontiers in Energy Research, 2022 The current disturbance classification of power quality data often has the problem of low disturbance recognition accuracy due to its large volume and difficult feature extraction.
Xin Xia +6 more
doaj +1 more source
Energy-efficient sensing in wireless sensor networks using compressed sensing [PDF]
, 2014 Sensing of the application environment is the main purpose of a wireless sensor network. Most existing energy management strategies and compression techniques assume that the sensing operation consumes significantly less energy than radio transmission ...
Razzaque, Mohammad Abdur +5 more
core +1 more source
Multiple Description Coding for Distributed Compressed Sensing [PDF]
, 2013 The following thesis is devoted to the study of a multiple description framework for compressed sensing, with particular focus on a distributed application of compressed sensing.
Diego Valsesia (7990556)
core +6 more sources
Multi-signal Compressed Sensing For Polarimetric SAR Tomography [PDF]
, 2011 In recent years, three-dimensional imaging by means of SAR tomography has become a field of intensive research. In SAR tomography, the vertical reflectivity function for every azimuth-range pixel is usually recovered by processing data collected using a ...
Aguilera, Esteban Pedro +6 more
core +1 more source
Compressed sensing of monostatic and multistatic SAR [PDF]
, 2013 In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat +5 more
core +1 more source
A Compressed Sensing Approach for Distribution Matching [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 In this work, we formulate the fixed-length distribution matching as a Bayesian inference problem. Our proposed solution is inspired from the compressed sensing paradigm and the sparse superposition (SS) codes. First, we introduce sparsity in the binary source via position modulation (PM).
Mohamad Dia +2 more
openaire +4 more sources
Convolutional compressed sensing using deterministic sequences [PDF]
, 2012 This is the author's accepted manuscript (with working title "Semi-universal convolutional compressed sensing using (nearly) perfect sequences"). The final published article is available from the link below. Copyright @ 2012 IEEE.
Cong Ling +4 more
core +1 more source
A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas [PDF]
, 2013 Super-resolution imaging via compressed sensing (CS)-based spectral estimators has been recently introduced to synthetic aperture radar (SAR) tomography.
Nannini, Matteo +2 more
core +1 more source
Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas [PDF]
, 2012 Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a ...
Nannini, Matteo +2 more
core +1 more source
Harmonic analysis in distributed power system based on IoT and dynamic compressed sensing
Energy Reports, 2022 Massive distributed clean energy takes power electronic equipment as the grid access connector, which brings serious harmonic pollutions. To monitor the power quality in the massive distributed power systems, this paper proposes a real-time harmonic ...
Yuqing Niu +5 more
doaj +1 more source