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Introduction to Graph Signal Processing
An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph ...
Antonio Ortega
semanticscholar +1 more source
Real-Time Eye Diagram Monitoring for Optical Signals Based on Optical Sampling
A real-time eye diagram monitoring method for optical signals is proposed and experimentally demonstrated based on optical sampling. In the system, the optical signals under test are directly sampled by an optical sampling pulse train with a narrow pulse
Tao Huang, Zhiqiang Fan, Jun Su, Qi Qiu
doaj +1 more source
Graph Signal Processing: Overview, Challenges, and Applications [PDF]
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
semanticscholar +1 more source
New Sampling Expansion Related to Derivatives in Quaternion Fourier Transform Domain
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
Topological Signal Processing Over Simplicial Complexes [PDF]
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
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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Introducing Hypergraph Signal Processing: Theoretical Foundation and Practical Applications [PDF]
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
Period and Signal Reconstruction from the Curve of Sample-Sequences [PDF]
A finite sequence of equidistant samples (a sample train) of a periodic signal can be identified with a point in a multi-dimensional space. Such a point depends on the sampled signal, the sampling period, and the starting time of the sequence. If the starting time varies, then the corresponding point moves along a closed curve.
arxiv +1 more source
A Hilbert Space Theory of Generalized Graph Signal Processing [PDF]
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
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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