Results 1 to 10 of about 5,109 (308)
CS-MUVI: Video compressive sensing for spatial-multiplexing cameras [PDF]
2012 IEEE International Conference on Computational Photography (ICCP), 2012 Compressive sensing (CS)-based spatial-multiplexing cameras (SMCs) sample a scene through a series of coded projections using a spatial light modulator and a few optical sensor elements. SMC architectures are particularly useful when imaging at wavelengths for which full-frame sensors are too cumbersome or expensive.
Sankaranarayanan, Aswin C. +2 more
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On-Chip Compressive Sensing with a Single-Photon Avalanche Diode Array
Sensors, 2023 Single-photon avalanche diodes (SPADs) are novel image sensors that record photons at extremely high sensitivity. To reduce both the required sensor area for readout circuits and the data throughput for SPAD array, in this paper, we propose a snapshot ...
Chenxi Qiu +6 more
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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
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Compressive sensing techniques based on secure data aggregation in WSNs [PDF]
Scientific ReportsThis research paper presents an efficient data collection scheme for Wireless Sensor Networks (WSNs) that simultaneously compresses and encrypts sensor data to extend network lifespan.
Marwa E. Madkour +5 more
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Performance Analysis of Compressive Sensing based LS and MMSE Channel Estimation Algorithm
Journal of Communications Software and Systems, 2021 In this paper, we have developed and implemented Minimum Mean Square Channel Estimation with Compressive Sensing (MMSE-CS) algorithm in MIMO-OFDM systems.
Ami Munshi, Srija Unnikrishnan
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Iterative detection for compressive sensing: Turbo CS [PDF]
2014 IEEE International Conference on Communications (ICC), 2014 We consider compressive sensing as a source coding method for signal transmission. We concatenate a convolutional coding system with 1-bit compressive sensing to obtain a serial concatenated system model for sparse signal transmission over an AWGN channel.
Amin Movahed, Mark C. Reed
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Hierarchical distillation for image compressive sensing reconstruction
Electronics Letters, 2021 Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation‐based CS methods and deep learning have been used to improve image reconstruction performance. However,
Bokyeung Lee +3 more
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Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support [PDF]
IEEE Transactions on Signal Processing, 2009 We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known, although the known part may contain some errors. The ``known" part of the support, denoted T, may be available from prior knowledge.
Namrata Vaswani, Wei Lu 0024
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CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation [PDF]
, 2021 In this paper, a deep neural network with interpretable motion compensation called CS-MCNet is proposed to realize high-quality and real-time decoding of video compressive sensing. Firstly, explicit multi-hypothesis motion compensation is applied in our network to extract correlation information of adjacent frames(as shown in Fig.
Bowen Huang +5 more
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LS-CS-Residual (LS-CS): Compressive Sensing on Least Squares Residual [PDF]
IEEE Transactions on Signal Processing, 2010 Accepted (with mandatory minor revisions) to IEEE Trans. Signal Processing.
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