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Graph Signal Processing: Overview, Challenges, and Applications [PDF]
Proceedings of the IEEE, 2017 Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing, along
Antonio Ortega +4 more
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New Sampling Expansion Related to Derivatives in Quaternion Fourier Transform Domain
Mathematics, 2022 The theory of quaternions has gained a firm ground in recent times and is being widely explored, with the field of signal and image processing being no exception.
Siddiqui Saima +2 more
doaj +1 more source
Sampling phased array a new technique for signal processing and ultrasonic imaging
SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2006 L. von Bernus +5 more
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Topological Signal Processing Over Simplicial Complexes [PDF]
IEEE Transactions on Signal Processing, 2019 The goal of this paper is to establish the fundamental tools to analyze signals defined over a topological space, i.e. a set of points along with a set of neighborhood relations.
S. Barbarossa, S. Sardellitti
semanticscholar +1 more source
Introducing Hypergraph Signal Processing: Theoretical Foundation and Practical Applications [PDF]
IEEE Internet of Things Journal, 2019 Signal processing over graphs has recently attracted significant attention for dealing with the structured data. Normal graphs, however, only model pairwise relationships between nodes and are not effective in representing and capturing some high-order ...
Songyang Zhang, Zhi Ding, Shuguang Cui
semanticscholar +1 more source
EURASIP Journal on Advances in Signal Processing, 2023 Sampling and reconstruction play a critical role in signal processing. The non-ideal sampling conditions motivate the development of the sampling theory. In this paper, associated with multiple non-ideal conditions, we discuss the nonuniform sampling and
Liyun Xu, Wei Li
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A Hilbert Space Theory of Generalized Graph Signal Processing [PDF]
IEEE Transactions on Signal Processing, 2019 Graph signal processing (GSP) has become an important tool in many areas such as image processing, networking learning and analysis of social network data.
Feng Ji, Wee Peng Tay
semanticscholar +1 more source
Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. The digital representation of received radar signals has provided a wide range of opportunities for their processing. However, the used hardware and software impose some limits on the number of bits and sampling rate of the signal at all ...
S. R. Heister, V. V. Kirichenko
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Experimental Study on Sampling Theorem in Signal Processing
Journal La Multiapp, 2021 This practicum is to define the study properties of the sampling theorem. Understand the effect of selecting the sample size and its effect on the signal recovery process. The experiment utilizes a computer or portable workstation to run an examination of the hypothesis reenactment program. From the test information gotten, it can be concluded that the
Nyein Mynt, Kyaw Lin, Zaw Aung
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Ranging Property of the Dual-Band Band Limited Signal (DBBLS)
Advances in Electrical and Computer Engineering, 2012 The Dual-Band Band Limited Signal (DBBLS) is a signal with its power spectral density consisting of two separate lobes. Signals that can be considered as DBBLS are for example signals with BOC, AltBOC modulation, signals modulated on two close carriers
KOVAR, P., KACMARIK, P.
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