Results 21 to 30 of about 2,999 (264)
Incorporating Primary Occupancy Patterns in Compressive Spectrum Sensing
IEEE Access, 2019 Wideband spectrum sensing remains one of the challenging problems facing the wide deployment of cognitive radio networks. Compressive sensing (CS) was proposed as a promising approach to this problem by utilizing the sparse structure of the underutilized
Omar M. Eltabie +2 more
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Sensors, 2019 Devices in a visual sensor network (VSN) are mostly powered by batteries, and in such a network, energy consumption and bandwidth utilization are the most critical issues that need to be taken into consideration. The most suitable solution to such issues
Mansoor Ebrahim +3 more
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Signals, 2022 In this work, we provide a compressive sensing architecture for implementing on a space based observatory for detecting transient photometric parallax caused by gravitational microlensing events.
Asmita Korde-Patel +2 more
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Application of compressive sensing techniques for advanced image processing and digital image transmission [PDF]
Bulletin of Natural Sciences ResearchThe field of compressive sensing (CS) has emerged as a transformative approach in the acquisition and processing of high-dimensional data. This paper presents a comprehensive study on the application of compressive sensing techniques to advanced image ...
Stefanović Nenad +4 more
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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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International Journal of Antennas and Propagation, 2015 A novel compressive sensing- (CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching. Firstly, a DOA sparse sensing model is
Hongtao Li, Chaoyu Wang, Xiaohua Zhu
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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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