Results 1 to 10 of about 3,407,618 (256)
Discrete Signal Processing on Graphs: Sampling Theory [PDF]
IEEE Transactions on Signal Processing, 2015 We propose a sampling theory for signals that are supported on either directed or undirected graphs. The theory follows the same paradigm as classical sampling theory. We show that perfect recovery is possible for graph signals bandlimited under the graph Fourier transform.
Rohan Varma +3 more
arxiv +7 more sources
Rethinking Sketching as Sampling: A Graph Signal Processing Approach [PDF]
Signal Processing, 2016 Submitted to Elsevier Signal ...
Fernando Gama +3 more
semanticscholar +7 more sources
No-Go theorem for sampling-based signal processing [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 The approximation of linear time-invariant (LTI) systems by sampling series is an important topic in signal processing. However, the convergence of the approximation process is not guaranteed. In this paper we prove that for every sampling pattern that is a complete interpolating sequence there exists a universal stable LTI system such that for every ...
Holger Boche, Ullrich J. Mönich
semanticscholar +4 more sources
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.
Qiong Wu, Qilian Liang
semanticscholar +5 more sources
A Signal Processing View on Packet Sampling and Anomaly Detection [PDF]
2010 Proceedings IEEE INFOCOM, 2010 Anomaly detection methods typically operate on preprocessed traffic traces. Firstly, most traffic capturing devices today employ random packet sampling, where each packet is selected with a certain probability, to cope with increasing link speeds. Secondly, temporal aggregation, where all packets in a measurement interval are represented by their ...
Daniela Brauckhoff +2 more
semanticscholar +7 more sources
On the effects of signal processing on sample entropy for postural control
PLOS ONE, 2018 Sample entropy, a measure of time series regularity, has become increasingly popular in postural control research. We are developing a virtual reality assessment of sensory integration for postural control in people with vestibular dysfunction and wished to apply sample entropy as an outcome measure. However, despite the common use of sample entropy to
Anat V. Lubetzky +2 more
semanticscholar +7 more sources
Silicon photonics devices for integrated analog signal processing and sampling [PDF]
Nanophotonics, 2014 Silicon photonics offers the possibility of a reduction in size weight and power for many optical systems, and could open up the ability to build optical systems with complexities that would otherwise be impossible to achieve.
Spector Steven, Sorace-Agaskar Cheryl
doaj +2 more sources
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
doaj +2 more sources
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
openaire +3 more sources
Detecting Network Intrusions Using Signal Processing with Query-Based Sampling Filter [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 This paper presents a novel approach for training a network intrusion detection system based on a query-based sampling (QBS) filter. The proposed QBS filter applies the concepts of data quantization to signal processing in order to develop a novel ...
Jen-Shiang Kouh +2 more
doaj +2 more sources