Results 31 to 40 of about 1,448,495 (301)
CHAOTIC COMPRESSIVE SENSING OF TV –UHF BAND IN IRAQ USING CHEBYSHEV GRAM SCHMIDT SENSING MATRIX
Iraqi Journal of Information & Communication Technology, 2021 Cognitive radio (CR) is a promising technology for solving spectrum sacristy problem. Spectrum sensing is the main step of CR. Sensing the wideband spectrum produces more challenges. Compressive sensing (CS) is a technology used as spectrum sening in
Hadeel S. Abed , Hikmat N. Abdullah
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Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction [PDF]
Medical Image Analysis, 2021 We address the problem of reconstructing high quality images from undersampled MRI data. This is a challenging task due to the highly ill-posed nature of the problem. In particular, in dynamic MRI scans, the interaction between the target structure and the physical motion affects the acquired measurements leading to blurring artefacts and loss of fine ...
Angelica I. Aviles-Rivero +4 more
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Automated Firmware Generation for Compressive Sensing on Heterogeneous Hardware
Sensors, 2022 In this paper, a model-based firmware generator is presented towards complex sampling schemes. The framework is capable of automatically generating a fixed-rate Shannon-compliant acquisition scheme, as well as a variable-rate compressive sensing ...
Rens Baeyens +4 more
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A hybrid watermarking scheme with CS theory for security of multimedia data
Journal of King Saud University: Computer and Information Sciences, 2019 A hybrid watermarking scheme for multimedia data such as digital image, digital video is proposed in this paper. The scheme utilizes various image processing transforms and Compressive Sensing (CS) to achieved fragility and security for multimedia data ...
Rohit Thanki +2 more
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Compressive Sensing Based on Mesoscopic Chaos of Silicon Optomechanical Photonic Crystal
IEEE Photonics Journal, 2020 Compressive sensing (CS) is an effective technique that can compress and recover sparse signals below the Nyquist-Shannon sampling theorem restriction.
Pengfei Guo +6 more
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Application of Compressive Sensing in the Presence of Noise for Transient Photometric Events
Signals, 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
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Shock and Vibration, 2020 The compressive sensing (CS) theory provides a new slight to the big-data problem led by the Shannon sampling theorem in rolling element bearings condition monitoring, where the measurement matrix of CS tends to be designed by the random matrix (RM) to ...
Ya He, Kun Feng, Minghui Hu, Jinmiao Cui
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A Novel Image Compressive Sensing Method Based on Complex Measurements
, 2011 Compressive sensing (CS) has emerged as an efficient signal compression and recovery technique, that exploits the sparsity of a signal in a transform domain to perform sampling and stable recovery.
Xiang, Wei +5 more
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AN IMPROVEMENT OF RESOURCE CONSUMPTION IN WIRELESS SENSOR NETWORK (WSN) USING COMPRESSIVE SENSING
Malaysian Journal of Computing, 2022 Wireless Sensor Network (WSN) refers to a group of spatially dispersed and dedicated sensors designed to monitor and record the physical conditions of the environment and organise the data collected at a central location.
Maizatul Akmal Ibrahim +1 more
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Automatic Modulation Recognition Using Compressive Cyclic Features
Algorithms, 2017 Higher-order cyclic cumulants (CCs) have been widely adopted for automatic modulation recognition (AMR) in cognitive radio. However, the CC-based AMR suffers greatly from the requirement of high-rate sampling.
Lijin Xie, Qun Wan
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