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Near-Optimal Graph Signal Sampling by Pareto Optimization [PDF]

open access: yesSensors, 2021
In this paper, we focus on the bandlimited graph signal sampling problem. To sample graph signals, we need to find small-sized subset of nodes with the minimal optimal reconstruction error.
Dongqi Luo   +4 more
doaj   +2 more sources

Consistent Sampling and Signal Recovery [PDF]

open access: yesIEEE Transactions on Signal Processing, 2007
An attractive formulation of the sampling problem is based on the principle of a consistent signal reconstruction. The requirement is that the reconstructed signal is indistinguishable from the input in the sense that it yields the exact same measurements. Such a system can be interpreted as an oblique projection onto a given reconstruction space.
Michael Ünser, Akira Hirabayashi
exaly   +3 more sources

Definition of Sampled Signal Spectrum and Shannon’s Proof of Reconstruction Formula [PDF]

open access: yesTransNav, 2022
The objective of this paper is to show from another perspective that the definition of the spectrum of a sampled signal, which is used at present by researchers and engineers, is nothing else than an arbitrary choice for what is possibly not uniquely ...
Andrzej Borys
doaj   +1 more source

A Sub-Nyquist Uniform Linear Array Receiver Design

open access: yesIEEE Access, 2021
A design of sub-Nyquist uniform linear array receiver with different sampling rates is proposed, investigated, and reported in this paper. The proposed architecture increases functionality of conventional linear array receiver with modest modifications ...
Chi-Hao Cheng
doaj   +1 more source

Period and signal reconstruction from the curve of trains of samples

open access: yesIET Signal Processing, 2022
A finite sequence of equidistant samples (a sample‐train) of a periodic signal can be identified with a point in a multidimensional space. Such a point depends on the signal, the sampling period, and the starting time of the sequence.
Marek W. Rupniewski
doaj   +1 more source

Super-sample signal [PDF]

open access: yesPhysical Review D, 2014
15 pages, 11 figures, 2 tables, matches published ...
Li, Yin, Hu, Wayne, Takada, Masahiro
openaire   +2 more sources

Multitemporal Sampling Module for Real-Time Human Activity Recognition

open access: yesIEEE Access, 2022
Human activity recognition, which recognizes human activities from time-series signals collected by sensors, is an important task in human-centered intelligent systems such as in healthcare and smart vehicles. In these applications, rapid response of the
Jaegyun Park   +3 more
doaj   +1 more source

Design of a novel CEM‐FRM‐based low‐complexity channelised radar transmitter

open access: yesIET Radar, Sonar & Navigation, 2021
With the development of the radar technology, it is required that a radar has wider bandwidth and can transmit multiple signals simultaneously. The polyphase digital channelised transmitter structure can transmit multiple signals simultaneously and ...
Wenxu Zhang   +3 more
doaj   +1 more source

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels

open access: yesIEEE Access, 2021
Event detection in electrical grids is a challenging problem for machine learning methods due to spatiotemporally nonstationary systems and the inability to automate event labeling in high-volume data such as PMU measurements.
Ameen Abdel Hai   +7 more
doaj   +1 more source

Simple Proof of Incorrectness of the Formula Describing Aliasing and Folding Effects in Spectrum of Sampled Signal in Case of Ideal Signal Sampling [PDF]

open access: yesTransNav, 2021
A simple proof of the incorrectness of the formula, which is used in the literature nowadays, for description of the aliasing and folding effects in the spectrum of a sampled signal in the case of an ideal signal sampling, is given in this paper.
Andrzej Borys
doaj   +1 more source

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