Results 41 to 50 of about 135,560 (273)
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
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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
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Sequential Compressed Sensing [PDF]
, 2009 Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sensing literature have focused on characterizing the achievable performance ...
Malioutov, Dmitry +2 more
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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
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, 2013 Traditional compressed sensing considers sampling a 1D signal. For a multidimensional signal, if reshaped into a vector, the required size of the sensing matrix becomes dramatically large, which increases the storage and computational complexity ...
Fang, Hao +3 more
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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
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Segmented Multistage Reconstruction of Magnetic Resonance Images
Advances in Electrical and Computer Engineering, 2021 Compressed sensing of magnetic resonance imaging refers to the reconstruction of magnetic resonance images from partially sampled k-space data. The k-space data reduces reconstruction processing time but at the cost of increasing artifacts - especially
FARIS, M. +3 more
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Modulated Unit-Norm Tight Frames for Compressed Sensing [PDF]
, 2014 In this paper, we propose a compressed sensing (CS) framework that consists of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a column-wise orthonormal matrix.
Gan, Lu +3 more
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A novel cooperative spectrum signal detection algorithm for underwater communication system
EURASIP Journal on Wireless Communications and Networking, 2019 In order to further improve the spectrum resource detection probability and increase the spectrum utilization rate in underwater wireless communication systems, this paper designs a novel multi-layer cooperative spectrum sensing algorithm based on ...
Jiang Xiaolin +2 more
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Randomness and isometries in echo state networks and compressed sensing
, 2018 Although largely different concepts, echo state networks and compressed sensing models both rely on collections of random weights; as the reservoir dynamics for echo state networks, and the sensing coefficients in compressed sensing.
Prater-Bennette, Ashley
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