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https://doi.org/10.2139/ssrn.4665752

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inferredcites →https://doi.org/10.1007/978-1-4471-0541-1openalex-extracted
Discrete-time Signal Processing
inferredcites →https://doi.org/10.1007/978-1-4612-0143-4openalex-extracted
Modern Sampling Theory: Mathematics and Applications
inferredcites →https://doi.org/10.1007/bf02395039openalex-extracted
Necessary density conditions for sampling and interpolation of certain entire functions
inferredcites →https://doi.org/10.1016/j.bspc.2022.103639openalex-extracted
Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia
inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106521openalex-extracted
BrainTGL: A dynamic graph representation learning model for brain network analysis
inferredcites →https://doi.org/10.1016/j.dsp.2020.102802openalex-extracted
Vertex-frequency graph signal processing: A comprehensive review
inferredcites →https://doi.org/10.1016/j.dsp.2021.103347openalex-extracted
A reconstruction method for graph signals based on the power spectral density estimation
inferredcites →https://doi.org/10.1016/j.laa.2004.12.014openalex-extracted
On Rayleigh–Ritz ratios of a generalized Laplacian matrix of directed graphs
inferredcites →https://doi.org/10.1016/j.optlastec.2023.110136openalex-extracted
Event-based diffractive neural network chip for dynamic action recognition
inferredcites →https://doi.org/10.1016/j.sbi.2023.102538openalex-extracted
Everything is connected: Graph neural networks
inferredcites →https://doi.org/10.1016/j.sigpro.2021.108335openalex-extracted
Node copying: A random graph model for effective graph sampling
inferredcites →https://doi.org/10.1017/cbo9781139839099openalex-extracted
Foundations of Signal Processing
inferredcites →https://doi.org/10.1109/97.870683openalex-extracted
An efficient algorithm for sample rate conversion from CD to DAT
inferredcites →https://doi.org/10.1109/globalsip.2016.7905861openalex-extracted
Frequency analysis of time-varying graph signals
inferredcites →https://doi.org/10.1109/globalsip.2018.8646609openalex-extracted
SAMPLING AND RECONSTRUCTION OF SIGNALS ON PRODUCT GRAPHS
inferredcites →https://doi.org/10.1109/globalsip45357.2019.8969108openalex-extracted
On Critical Sampling of Time-Vertex Graph Signals
inferredcites →https://doi.org/10.1109/globalsip45357.2019.8969166openalex-extracted
Bayesian Design of Sampling Set for Bandlimited Graph Signals
inferredcites →https://doi.org/10.1109/icassp.2019.8683739openalex-extracted
Active Sampling for Approximately Bandlimited Graph Signals
inferredcites →https://doi.org/10.1109/jproc.2018.2820126openalex-extracted
Graph Signal Processing: Overview, Challenges, and Applications
inferredcites →https://doi.org/10.1109/lsp.2014.2387204openalex-extracted
Infinite Impulse Response Graph Filters in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/msp.2012.2235192openalex-extracted
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
inferredcites →https://doi.org/10.1109/msp.2014.2329213openalex-extracted
Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure
inferredcites →https://doi.org/10.1109/msp.2018.2890143openalex-extracted
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
inferredcites →https://doi.org/10.1109/proc.1967.5962openalex-extracted
Sampling, data transmission, and the Nyquist rate
inferredcites →https://doi.org/10.1109/proc.1984.12998openalex-extracted
Communication in the presence of noise
inferredcites →https://doi.org/10.1109/t-aiee.1928.5055024openalex-extracted
Certain Topics in Telegraph Transmission Theory
inferredcites →https://doi.org/10.1109/tit.2004.831755openalex-extracted
Multiple-Input Multiple-Output Sampling: Necessary Density Conditions
inferredcites →https://doi.org/10.1109/tpami.2020.3008413openalex-extracted
Event-Based Vision: A Survey
inferredcites →https://doi.org/10.1109/tsp.2013.2238935openalex-extracted
Discrete Signal Processing on Graphs
inferredcites →https://doi.org/10.1109/tsp.2014.2321121openalex-extracted
Discrete Signal Processing on Graphs: Frequency Analysis
inferredcites →https://doi.org/10.1109/tsp.2015.2469645openalex-extracted
Discrete Signal Processing on Graphs: Sampling Theory
inferredcites →https://doi.org/10.1109/tsp.2016.2546233openalex-extracted
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies
inferredcites →https://doi.org/10.1109/tsp.2017.2775589openalex-extracted
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
inferredcites →https://doi.org/10.1109/tsp.2019.2952055openalex-extracted
A Hilbert Space Theory of Generalized Graph Signal Processing
inferredcites →https://doi.org/10.1109/tsp.2022.3160003openalex-extracted
DCT and DST Filtering With Sparse Graph Operators
inferredcites →https://doi.org/10.48550/arxiv.1707.01926openalex-extracted
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
inferredcites →https://doi.org/10.48550/arxiv.1902.04265openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1909.02692openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1909.03214openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2301.08210openalex-extracted
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