Results 11 to 20 of about 22,377,175 (350)
Genomic Signal Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 2011 1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA 2Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA 3Department of Information and Computer Science, Aalto University, Espoo 00076, Finland 4Department of Electrical and Computer ...
Braga-Neto, Ulisses +5 more
openaire +4 more sources
IEEE Signal Processing Magazine, 2023 In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC ...
Wei Liu +4 more
semanticscholar +1 more source
Invertible Image Signal Processing [PDF]
Computer Vision and Pattern Recognition, 2021 Unprocessed RAW data is a highly valuable image format for image editing and computer vision. However, since the file size of RAW data is huge, most users can only get access to processed and compressed sRGB images.
Yazhou Xing, Zian Qian, Qifeng Chen
semanticscholar +1 more source
Federated Learning: A signal processing perspective [PDF]
IEEE Signal Processing Magazine, 2021 The dramatic success of deep learning is largely due to the availability of data. Data samples are often acquired on edge devices, such as smartphones, vehicles, and sensors, and in some cases cannot be shared due to privacy considerations.
Tomer Gafni +4 more
semanticscholar +1 more source
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid [PDF]
IEEE Transactions on Signal Processing, 2021 The underlying theme of this paper is to explore the various facets of power systems data through the lens of graph signal processing (GSP), laying down the foundations of the Grid-GSP framework.
Raksha Ramakrishna, A. Scaglione
semanticscholar +1 more source
Efficient Neuromorphic Signal Processing with Loihi 2 [PDF]
IEEE Workshop on Signal Processing Systems, 2021 The biologically inspired spiking neurons used in neuromorphic computing are nonlinear filters with dynamic state variables—very different from the stateless neuron models used in deep learning. The next version of Intel's neuromorphic research processor,
G. Orchard +6 more
semanticscholar +1 more source
The Laplacian spread of a tree [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 Graphs and ...
Yi-Zheng Fan +3 more
doaj +1 more source
Remote Sensing, 2022 With the rapid development of high-resolution synthetic aperture radar (SAR) systems, the technique that utilizes multiple two-dimensional (2-D) SAR images with different view angles to extract three-dimensional (3-D) coordinates of targets has gained ...
Chenghao Jiang +6 more
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Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Nature Communications, 2021 Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation.
Yanan Zhong +5 more
semanticscholar +1 more source
EURASIP Journal on Wireless Communications and Networking, 2020 We address the suppressing problem of smeared spectrum (SMSP) jamming from the mixed signal received by the radar. To this end, we resort to the time-frequency analysis algorithm and give the concrete expression formula of the short-time Fourier ...
Chuanzhang Wu +3 more
doaj +1 more source