Results 1 to 10 of about 2,903,161 (256)
The Ensemble Kalman filter: a signal processing perspective [PDF]
EURASIP Journal on Advances in Signal Processing, 2017 The ensemble Kalman filter (EnKF) is a Monte Carlo-based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear, and non-Gaussian state estimation problems.
Michael Roth +3 more
doaj +4 more sources
Graph Filters for Signal Processing and Machine Learning on Graphs [PDF]
arXiv, 2022 Filters are fundamental in extracting information from data. For time series and image data that reside on Euclidean domains, filters are the crux of many signal processing and machine learning techniques, including convolutional neural networks. Increasingly, modern data also reside on networks and other irregular domains whose structure is better ...
Elvin Isufi +3 more
arxiv +3 more sources
Graphon Filters: Graph Signal Processing in the Limit [PDF]
IEEE Transactions on Signal Processing, 2021 Graph signal processing is an emerging field which aims to model processes that exist on the nodes of a network and are explained through diffusion over this structure.
Matthew W. Morency, Geert Leus
openalex +3 more sources
MIMO signal processing in offset-QAM based filter bank multicarrier systems [PDF]
IEEE Transactions on Signal Processing, 2016 Next-generation communication systems have to comply with very strict requirements for increased flexibility in heterogeneous environments, high spectral efficiency, and agility of carrier aggregation.
Caus, Marius +7 more
core +4 more sources
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis [PDF]
International Journal of Computer Applications 98(7):12-18, July
2014, 2020 In the field of digital signal processing, the function of a filter is to remove unwanted parts of the signal such as random noise that is also undesirable. To remove noise from the speech signal transmission or to extract useful parts of the signal such as the components lying within a certain frequency range, filters are necessary.
Prajoy Podder +3 more
arxiv +3 more sources
Performance Analysis of Microwave Photonic Spectral Filters based on Optical Microcombs [PDF]
Advanced Physics ResearchMicrowave transversal filters, which are implemented based on the transversal filter structure in digital signal processing, offer a high reconfigurability for achieving a variety of signal processing functions without changing hardware. When implemented
Yang Li +10 more
doaj +2 more sources
Extending Classical Multirate Signal Processing Theory to Graphs—Part II: M-Channel Filter Banks
IEEE Transactions on Signal Processing, 2016 Oğuzhan Teke, P. P. Vaidyanathan
openalex +2 more sources
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
SSVEP-EEG Feature Enhancement Method Using an Image Sharpening Filter
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Steady-state visual evoked potential (SSVEP) is widely used in brain computer interface (BCI), medical detection, and neuroscience, so there is significant interest in enhancing SSVEP features via signal processing for better performance.
Wenqiang Yan +3 more
doaj +1 more source
Graphon Signal Processing [PDF]
IEEE Transactions on Signal Processing, 2020 Graphons are infinite-dimensional objects that represent the limit of convergent sequences of graphs as their number of nodes goes to infinity. This paper derives a theory of graphon signal processing centered on the notions of graphon Fourier transform ...
Luana Ruiz +2 more
semanticscholar +1 more source