Results 11 to 20 of about 895,416 (337)
Graph Signal Processing: Overview, Challenges and Applications
Proceedings of the IEEE, 2018 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.
Frossard, Pascal +4 more
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Rethinking sketching as sampling: A graph signal processing approach
Signal Processing, 2020 Submitted to Elsevier Signal ...
Fernando Gama +3 more
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Pulse-doppler signal processing with quadrature compressive sampling [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2015 Quadrature compressive sampling (QuadCS) is a recently introduced sub-Nyquist sampling scheme for effective acquisition of inphase and quadrature (I/Q) components of sparse radio frequency signals. In applications to pulse-Doppler radars, the QuadCS outputs can be arranged into a two-dimensional data format, in terms of slow time and virtual fast time,
Chao Liu +4 more
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Design of a Digital Array Signal Processing System with Full Array Element
Remote Sensing, 2023 For the application of a digital array signal processing system with a high sampling rate and large bandwidth, and considering the constraints of limited resources (performance, volume, power consumption, weight, etc.), this paper proposes a design and ...
Guoyao Xiao +4 more
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Highlighting Problems Occurring in Analysis of Critical Sampling of Cosinusoidal Signal [PDF]
TransNav, 2020 When the sampling of an analog signal uses the sampling rate equal to exactly twice the value of a maximal frequency occurring in the signal spectrum, it is called a critical one.
Andrzej Borys, Przemyslaw Korohoda
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Coprime sampling for nonstationary signal in radar signal processing [PDF]
EURASIP Journal on Wireless Communications and Networking, 2013 Estimating the spectrogram of non-stationary signal relates to many important applications in radar signal processing. In recent years, coprime sampling and array attract attention for their potential of sparse sensing with derivative to estimate autocorrelation coefficients with all lags, which could in turn calculate the power spectrum density.
Wu, Qiong, Liang, Qilian
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Sampling in Digital Signal Processing and Control [PDF]
, 1996 Arie Feuer, Graham C. Goodwin
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Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review
Frontiers in Neural Circuits, 2021 The nervous systems converts the physical quantities sensed by its primary receptors into trains of events that are then processed in the brain. The unmatched efficiency in information processing has long inspired engineers to seek brain-like approaches ...
Mohammad-Hassan Tayarani-Najaran +1 more
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Adaptive importance sampling in signal processing [PDF]
Digital Signal Processing, 2015 In Bayesian signal processing, all the information about the unknowns of interest is contained in their posterior distributions. The unknowns can be parameters of a model, or a model and its parameters. In many important problems, these distributions are impossible to obtain in analytical form.
Bugallo, Mónica F. +2 more
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Real-Time Eye Diagram Monitoring for Optical Signals Based on Optical Sampling
Applied Sciences, 2023 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
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